@inproceedings {INPROC-2024-10,
author = {Dennis Treder-Tschechlov and Manuel Fritz and Holger Schwarz and Bernhard Mitschang},
title = {{Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization}},
booktitle = {Proc. VLDB Endow. 17, 11 (July 2024), 2880–2892.},
editor = {Proceedings of the VLDB Endowment},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {2880--2892},
type = {Conference Paper},
month = {August},
year = {2024},
doi = {https://doi.org/10.14778/3681954.3681970},
language = {English},
cr-category = {I.5.3 Pattern Recognition Clustering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient clustering algorithms, such as k-Means, are often used in practice
because they scale well for large datasets. However, they are only able to
detect simple data characteristics. Ensemble clustering can overcome this
limitation by combining multiple results of efficient algorithms. However,
analysts face several challenges when applying ensemble clustering, i. e.,
analysts struggle to (a) efficiently generate an ensemble and (b) combine the
ensemble using a suitable consensus function with a corresponding
hyperparameter setting. In this paper, we propose EffEns, an efficient ensemble
clustering approach to address these challenges. Our approach relies on
meta-learning to learn about dataset characteristics and the correlation
between generated base clusterings and the performance of consensus functions.
We apply the learned knowledge to generate appropriate ensembles and select a
suitable consensus function to combine their results. Further, we use a
state-of-the-art optimization technique to tune the hyperparameters of the
selected consensus function. Our comprehensive evaluation on synthetic and
real-world datasets demonstrates that EffEns significantly outperforms
state-of-the-art approaches w.r.t. accuracy and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-10&engl=1}
}
@inproceedings {INPROC-2024-09,
author = {Dennis Treder-Tschechlov and Manuel Fritz and Holger Schwarz and Bernhard Mitschang},
title = {{Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization}},
booktitle = {Proc. VLDB Endow. 17, 11 (July 2024), 2880–2892.},
editor = {Proceedings of the VLDB Endowment},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {2880--2892},
type = {Conference Paper},
month = {August},
year = {2024},
doi = {https://doi.org/10.14778/3681954.3681970},
language = {English},
cr-category = {I.5.3 Pattern Recognition Clustering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient clustering algorithms, such as k-Means, are often used in practice
because they scale well for large datasets. However, they are only able to
detect simple data characteristics. Ensemble clustering can overcome this
limitation by combining multiple results of efficient algorithms. However,
analysts face several challenges when applying ensemble clustering, i. e.,
analysts struggle to (a) efficiently generate an ensemble and (b) combine the
ensemble using a suitable consensus function with a corresponding
hyperparameter setting. In this paper, we propose EffEns, an efficient ensemble
clustering approach to address these challenges. Our approach relies on
meta-learning to learn about dataset characteristics and the correlation
between generated base clusterings and the performance of consensus functions.
We apply the learned knowledge to generate appropriate ensembles and select a
suitable consensus function to combine their results. Further, we use a
state-of-the-art optimization technique to tune the hyperparameters of the
selected consensus function. Our comprehensive evaluation on synthetic and
real-world datasets demonstrates that EffEns significantly outperforms
state-of-the-art approaches w.r.t. accuracy and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-09&engl=1}
}
@inproceedings {INPROC-2024-08,
author = {Dennis Treder-Tschechlov and Manuel Fritz and Holger Schwarz and Bernhard Mitschang},
title = {{Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization}},
booktitle = {Proc. VLDB Endow. 17, 11 (July 2024), 2880–2892.},
editor = {Proceedings of the VLDB Endowment},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {2880--2892},
type = {Conference Paper},
month = {August},
year = {2024},
doi = {https://doi.org/10.14778/3681954.3681970},
language = {English},
cr-category = {I.5.3 Pattern Recognition Clustering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient clustering algorithms, such as k-Means, are often used in practice
because they scale well for large datasets. However, they are only able to
detect simple data characteristics. Ensemble clustering can overcome this
limitation by combining multiple results of efficient algorithms. However,
analysts face several challenges when applying ensemble clustering, i. e.,
analysts struggle to (a) efficiently generate an ensemble and (b) combine the
ensemble using a suitable consensus function with a corresponding
hyperparameter setting. In this paper, we propose EffEns, an efficient ensemble
clustering approach to address these challenges. Our approach relies on
meta-learning to learn about dataset characteristics and the correlation
between generated base clusterings and the performance of consensus functions.
We apply the learned knowledge to generate appropriate ensembles and select a
suitable consensus function to combine their results. Further, we use a
state-of-the-art optimization technique to tune the hyperparameters of the
selected consensus function. Our comprehensive evaluation on synthetic and
real-world datasets demonstrates that EffEns significantly outperforms
state-of-the-art approaches w.r.t. accuracy and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-08&engl=1}
}
@inproceedings {INPROC-2024-07,
author = {Dennis Treder-Tschechlov and Manuel Fritz and Holger Schwarz and Bernhard Mitschang},
title = {{Ensemble Clustering based on Meta-Learning and Hyperparameter Optimization}},
booktitle = {Proc. VLDB Endow. 17, 11 (July 2024), 2880–2892.},
editor = {Proceedings of the VLDB Endowment},
publisher = {VLDB Endowment},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {2880--2892},
type = {Conference Paper},
month = {August},
year = {2024},
language = {English},
cr-category = {I.5.3 Pattern Recognition Clustering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient clustering algorithms, such as k-Means, are often used in practice
because they scale well for large datasets. However, they are only able to
detect simple data characteristics. Ensemble clustering can overcome this
limitation by combining multiple results of efficient algorithms. However,
analysts face several challenges when applying ensemble clustering, i. e.,
analysts struggle to (a) efficiently generate an ensemble and (b) combine the
ensemble using a suitable consensus function with a corresponding
hyperparameter setting. In this paper, we propose EffEns, an efficient ensemble
clustering approach to address these challenges. Our approach relies on
meta-learning to learn about dataset characteristics and the correlation
between generated base clusterings and the performance of consensus functions.
We apply the learned knowledge to generate appropriate ensembles and select a
suitable consensus function to combine their results. Further, we use a
state-of-the-art optimization technique to tune the hyperparameters of the
selected consensus function. Our comprehensive evaluation on synthetic and
real-world datasets demonstrates that EffEns significantly outperforms
state-of-the-art approaches w.r.t. accuracy and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-07&engl=1}
}
@inproceedings {INPROC-2024-06,
author = {Christoph Stach and Yunxuan Li and Laura Schuiki and Bernhard Mitschang},
title = {{LALO—A Virtual Data Lake Zone for Composing Tailor-Made Data Products on Demand}},
booktitle = {Proceedings of the 35th International Conference on Database and Expert Systems Applications (DEXA 2024)},
editor = {Christine Strauss and Toshiyuki Amagasa and Giuseppe Manco and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
address = {Cham},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science},
volume = {14911},
pages = {288--305},
type = {Conference Paper},
month = {August},
year = {2024},
isbn = {978-3-031-68311-4},
issn = {0302-9743},
doi = {10.1007/978-3-031-68312-1_22},
keywords = {Data Product; Virtual Data Lake Zone; Data Stream Adaptation},
language = {English},
cr-category = {H.2.7 Database Administration,
E.2 Data Storage Representations,
H.3.3 Information Search and Retrieval,
H.2.8 Database Applications},
contact = {Senden Sie eine E-Mail an \<christoph.stach@ipvs.uni-stuttgart.de\>.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The emerging paradigm of data products, which has become increasingly popular
recently due to the rise of data meshes and data marketplaces, also poses
unprecedented challenges for data management. Current data architectures,
namely data warehouses and data lakes, are not able to meet these challenges
adequately. In particular, these architectures are not designed for a
just-in-time provision of highly customized data products tailored perfectly to
the needs of customers. In this paper, we therefore present a virtual data lake
zone for composing tailor-made data products on demand, called LALO. LALO uses
data streaming technologies to enable just-in-time composing of data products
without allocating storage space in the data architecture permanently. In order
to enable customers to tailor data products to their needs, LALO uses a novel
mechanism that enables live adaptation of data streams. Evaluation results show
that the overhead for such an adaptation is negligible. Therefore, LALO
represents an efficient solution for the appropriate handling of data products,
both in terms of storage space and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-06&engl=1}
}
@inproceedings {INPROC-2024-04,
author = {Jan Schneider and Arnold Lutsch and Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{First Experiences on the Application of Lakehouses in Industrial Practice}},
booktitle = {Proceedings of the 35th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), Herdecke, Germany},
editor = {Uta St{\"o}rl},
publisher = {CEUR Workshop Proceedings},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {CEUR Workshop Proceedings},
volume = {3710},
pages = {3--8},
type = {Workshop Paper},
month = {June},
year = {2024},
isbn = {1613-0073},
keywords = {Data Lakehouse; Data Platform; Platform Architecture; Data Analytics; Case Study; Industry Experience},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software,
H.4.2 Information Systems Applications Types of Systems},
ee = {https://ceur-ws.org/Vol-3710/paper1.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In recent years, so-called lakehouses have emerged as a new type of data
platform that intends to combine characteristics of data warehouses and data
lakes. Although companies started to employ the associated concepts and
technologies as part of their analytics architectures, little is known about
their practical medium- and long-term experiences as well as proven
architectural decisions. Additionally, there is only limited knowledge about
how lakehouses can be utilized effectively in an industrial context. Hence, it
remains unclear under which circumstances lakehouses represent a viable
alternative to conventional data platforms. To address this gap, we conducted a
case study on a real-world industrial case, in which manufacturing data needs
to be managed and analytically exploited. Within the scope of this case, a
dedicated analytics department has been testing and leveraging a lakehouse
approach for several months in a productive environment with high data volumes
and various types of analytical workloads. The paper at hand presents the
results of our within-case analyses and focuses on the industrial setting of
the case as well as the architecture of the utilized lakehouse. This way, it
provides preliminary insights on the application of lakehouses in industrial
practice and refers to useful architectural decisions.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-04&engl=1}
}
@inproceedings {INPROC-2024-03,
author = {Andrea Fieschi and Pascal Hirmer and Sachin Agrawal and Christoph Stach and Bernhard Mitschang},
title = {{HySAAD - A Hybrid Selection Approach for Anonymization by Design in the Automotive Domain}},
booktitle = {Proceedings of the 25th IEEE International Conference on Mobile Data Management (MDM 2024)},
editor = {Chiara Renso and Mahmoud Sakr and Walid G Aref and Ashley Song and Cheng Long},
address = {Los Alamitos, Washington, Tokyo},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {203--210},
type = {Conference Paper},
month = {June},
year = {2024},
isbn = {979-8-3503-7455-1},
issn = {2375-0324},
doi = {10.1109/MDM61037.2024.00044},
keywords = {anonymization; connected vehicles; privacy protection; metrics},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues},
contact = {Senden Sie eine E-Mail an \<andrea.fieschi@ipvs.uni-stuttgart.de\>.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The increasing connectivity and data exchange between vehicles and the cloud
have led to growing privacy concerns. To keep on gaining product insights
through data collection while guaranteeing privacy protection, an
anonymization-by-design approach should be used. A rising number of
anonymization methods, not limited to the automotive domain, can be found in
the literature and practice. The developers need support to select the suitable
anonymization technique. To this end, we make the following two contributions:
1) We apply our knowledge from the automotive domain to outline the usage of
qualitative metrics for anonymization techniques assessment; 2) We introduce
HySAAD, a hybrid selection approach for anonymization by design that leverages
this groundwork by recommending appropriate anonymization techniques for each
mobile data analytics use case based on both, qualitative (i.e., {\ss}oft``) metrics
and quantitative (i.e., ''hard``) metrics. Using a real-world use case from the
automotive, we demonstrate the applicability and effectiveness of HySAAD.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-03&engl=1}
}
@inproceedings {INPROC-2024-02,
author = {Yunxuan Li and Christoph Stach and Bernhard Mitschang},
title = {{PaDS: An adaptive and privacy-enabling Data Pipeline for Smart Cars}},
booktitle = {Proceedings of the 25th IEEE International Conference on Mobile Data Management (MDM 2024)},
editor = {Chiara Renso and Mahmoud Sakr and Walid G Aref and Kyoung-Sook Kim and Manos Papagelis and Dimitris Sacharidis},
address = {Los Alamitos, Washington, Tokyo},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {41--50},
type = {Conference Paper},
month = {June},
year = {2024},
isbn = {979-8-3503-7455-1},
issn = {2375-0324},
doi = {10.1109/MDM61037.2024.00026},
keywords = {smart car; privacy-enabling data pipeline; datastream runtime adaptation; mobile data privacy management},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues},
contact = {Senden Sie eine E-Mail an \<yunxuan.li@ipvs.uni-stuttgart.de\>.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The extensive use of onboard sensors in smart cars enables the collection,
processing, and dissemination of large amounts of mobile data containing
information about the vehicle, its driver, and even bystanders. Despite the
undoubted benefits of such smart cars, this leads to significant privacy
concerns. Due to their inherent mobility, the situation of smart cars changes
frequently, and with it, the appropriate measures to counteract the exposure of
private data. However, data management in such vehicles lacks sufficient
support for this privacy dynamism. We therefore introduce PaDS, a framework for
Privacy adaptive Data Stream. The focus of this paper is to enable adaptive
data processing within the vehicle data stream. With PaDS, Privacy-Enhancing
Technologies can be deployed dynamically in the data pipeline of a smart car
according to the current situation without user intervention. With a comparison
of state-of-the-art approaches, we demonstrate that our solution is very
efficient as it does not require a complete restart of the data pipeline.
Moreover, compared to a static approach, PaDS causes only minimal overhead
despite its dynamic adaptation of the data pipeline to react to changing
privacy requirements. This renders PaDS an effective privacy solution for smart
cars.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-02&engl=1}
}
@inproceedings {INPROC-2024-01,
author = {Dennis Przytarski and Christoph Stach and Bernhard Mitschang},
title = {{Assessing Data Layouts to Bring Storage Engine Functionality to Blockchain Technology}},
booktitle = {Proceedings of the 57th Hawaii International Conference on System Sciences (HICSS '24)},
editor = {Tung X. Bui},
publisher = {ScholarSpace},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {5091--5100},
type = {Conference Paper},
month = {January},
year = {2024},
isbn = {978-0-9981331-7-1},
keywords = {blockchain; storage engine; queries},
language = {English},
cr-category = {H.3.1 Content Analysis and Indexing,
H.3.2 Information Storage,
H.3.3 Information Search and Retrieval},
ee = {https://hdl.handle.net/10125/106995},
contact = {Senden Sie eine E-Mail an \<Christoph.Stach@ipvs.uni-stuttgart.de\>.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowdays, modern applications often use blockchains as a secure data store.
However, querying blockchain data is more challenging than querying
conventional databases due to blockchains being primarily designed for the
logging of asset transfers, such as cryptocurrencies, rather than storing and
reading generic data. To improve the experience of querying blockchain data and
make it comparable to querying conventional databases, new design approaches of
the storage engine for blockchain technology are required. An important aspect
is the data layout of a block, as it plays a crucial role in facilitating
reading of blockchain data. In this paper, we identify a suitable data layout
that provides the required query capabilities while preserving the key
properties of blockchain technology. Our goal is to overcome the limitations of
current data access models in blockchains, such as the reliance on auxiliary
data storages and error-prone smart contracts. To this end, we compare four
promising data layouts with data models derived from document, row, column, and
triple stores in terms of schema flexibility, read pattern generality, and
relational algebra suitability. We then assess the most suitable data layout
for blockchain technology.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2024-01&engl=1}
}
@inproceedings {INPROC-2023-07,
author = {Andrea Fieschi and Yunxuan Li and Pascal Hirmer and Christoph Stach and Bernhard Mitschang},
title = {{Privacy in Connected Vehicles: Perspectives of Drivers and Car Manufacturers}},
booktitle = {Service-Oriented Computing: 17th Symposium and Summer School, SummerSOC 2023, Heraklion, Crete, Greece, June 25 – July 1, 2023, Revised Selected Papers},
editor = {Marco Aiello and Johanna Barzen and Schahram Dustdar and Frank Leymann},
address = {Cham},
publisher = {Springer Nature Switzerland},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Communications in Computer and Information Science},
volume = {1847},
pages = {59--68},
type = {Conference Paper},
month = {October},
year = {2023},
isbn = {978-3-031-45727-2},
doi = {10.1007/978-3-031-45728-9_4},
keywords = {Connected Vehicles; Privacy; Anonymization},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues},
contact = {Senden Sie eine E-Mail an Andrea Fieschi (Andrea.Fieschi@ipvs.uni-stuttgart.de) oder Yunxuan Li (Yunxuan.Li@ipvs.uni-stuttgart.de).},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The digital revolution has led to significant technological advancements in the
automotive industry, enabling vehicles to process and share information with
other vehicles and the cloud. However, as data sharing becomes more prevalent,
privacy protection has become an essential issue. In this paper, we explore
various privacy challenges regarding different perspectives of drivers and car
manufacturers. We also propose general approaches to overcome these challenges
with respect to their individual needs. Finally, we highlight the importance of
collaboration between drivers and car manufacturers to establish trust and
achieve better privacy protection.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-07&engl=1}
}
@inproceedings {INPROC-2023-06,
author = {Jan Schneider and Christoph Gr{\"o}ger and Arnold Lutsch and Holger Schwarz and Bernhard Mitschang},
title = {{Assessing the Lakehouse: Analysis, Requirements and Definition}},
booktitle = {Proceedings of the 25th International Conference on Enterprise Information Systems, ICEIS 2023, Volume 1, Prague, Czech Republic, April 24-26, 2023},
editor = {Joaquim Filipe and Michal Smialek and Alexander Brodsky and Slimane Hammoudi},
address = {Prague},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {44--56},
type = {Conference Paper},
month = {May},
year = {2023},
isbn = {978-989-758-648-4},
issn = {2184-4992},
doi = {10.5220/0011840500003467},
keywords = {Lakehouse; Data Warehouse; Data Lake; Data Management; Data Analytics},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.2.7 Database Administration,
H.2.8 Database Applications},
ee = {https://www.scitepress.org/PublicationsDetail.aspx?ID=9ydI3Lyl2Fk=,
https://doi.org/10.5220/0011840500003467},
contact = {jan.schneider@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The digital transformation opens new opportunities for enterprises to optimize
their business processes by applying data-driven analysis techniques. For
storing and organizing the required huge amounts of data, different types of
data platforms have been employed in the past, with data warehouses and data
lakes being the most prominent ones. Since they possess rather contrary
characteristics and address different types of analytics, companies typically
utilize both of them, leading to complex architectures with replicated data and
slow analytical processes. To counter these issues, vendors have recently been
making efforts to break the boundaries and to combine features of both worlds
into integrated data platforms. Such systems are commonly called lakehouses and
promise to simplify enterprise analytics architectures by serving all kinds of
analytical workloads from a single platform. However, it remains unclear how
lakehouses can be characterized, since existing definitions focus al most
arbitrarily on individual architectural or functional aspects and are often
driven by marketing. In this paper, we assess prevalent definitions for
lakehouses and finally propose a new definition, from which several technical
requirements for lakehouses are derived. We apply these requirements to several
popular data management tools, such as Delta Lake, Snowflake and Dremio in
order to evaluate whether they enable the construction of lakehouses.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-06&engl=1}
}
@inproceedings {INPROC-2023-05,
author = {Thomas Ackermann and Robert Miehe and Peter Reimann and Bernhard Mitschang and Ralf Takors and Thomas Bauernhansl},
title = {{A Cross-Disciplinary Training Concept for Future Technologists in the Dawn of Biointelligent Production Systems}},
booktitle = {Procedia CIRP: Proceedings of 13th CIRP Conference on Learning Factories (CIRP CLF)},
publisher = {Elsevier BV},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {May},
year = {2023},
keywords = {Biointelligent systems; Biological transformation; Converging technologies; Qualification},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Biologicalization is considered one of the most important transformation
processes in industry alongside digitalization. This work presents a
qualification concept within the Stuttgart Biointelligent Manufacturing
Framework (BioMEFUS), which is intended to provide skills and experiences at
the intersections between manufacturing and process engineering, computer
science and life science. Life cycle management, production methods and
engineering of components towards the development and implementation of
biointelligent systems are considered as the major engineering platforms of the
framework. The qualification concept is developed for early stage researchers
(ESRs) at the doctorate stage. It provides a mapping of individual research
projects in the field of biointelligent production systems and contains
subject-related and methodological building blocks for the formation of future
experts and decision-makers in the course of biological transformation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-05&engl=1}
}
@inproceedings {INPROC-2023-04,
author = {Julius Voggesberger and Peter Reimann and Bernhard Mitschang},
title = {{Towards the Automatic Creation of Optimized Classifier Ensembles}},
booktitle = {Proceedings of the 25th International Conference on Enterprise Information Systems (ICEIS 2023)},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {614--621},
type = {Conference Paper},
month = {April},
year = {2023},
keywords = {Classifier Ensembles; Classifier Diversity; Decision Fusion; AutoML; Machine Learning},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Classifier ensemble algorithms allow for the creation of combined machine
learning models that are more accurate and generalizable than individual
classifiers. However, creating such an ensemble is complex, as several
requirements must be fulfilled. An expert has to select multiple classifiers
that are both accurate and diverse. In addition, a decision fusion algorithm
must be selected to combine the predictions of these classifiers into a
consensus decision. Satisfying these requirements is challenging even for
experts, as it requires a lot of time and knowledge. In this position paper, we
propose to automate the creation of classifier ensembles. While there already
exist several frameworks that automatically create multiple classifiers, none
of them meet all requirements to build optimized ensembles based on these
individual classifiers. Hence, we introduce and compare three basic approaches
that tackle this challenge. Based on the comparison results, we propose one of
the approaches that best meets the requirements to lay the foundation for
future work.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-04&engl=1}
}
@inproceedings {INPROC-2023-03,
author = {Yannick Wilhelm and Peter Reimann and Wolfgang Gauchel and Steffen Klein and Bernhard Mitschang},
title = {{PUSION- A Generic and Automated Framework for Decision Fusion}},
booktitle = {Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023)},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {April},
year = {2023},
keywords = {Classifier ensembles; decision fusion; automated decision fusion; hybrid fault diagnosis},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Combining two or more classifiers into an ensemble and fusing the individual
classifier decisions to a consensus decision can improve the accuracy for a
classification problem. The classification improvement of the fusion result
depends on numerous factors, such as the data set, the combination scenario,
the decision fusion algorithm, as well as the prediction accuracies and
diversity of the multiple classifiers to be combined. Due to these factors, the
best decision fusion algorithm for a given decision fusion problem cannot be
generally determined in advance. In order to support the user in combining
classifiers and to achieve the best possible fusion result, we propose the
PUSION (Python Universal fuSION) framework, a novel generic and automated
framework for decision fusion of classifiers. The framework includes 14
decision fusion algorithms and covers a total of eight different combination
scenarios for both multi-class and multi-label classification problems. The
introduced concept of AutoFusion detects the combination scenario for a given
use case, automatically selects the applicable decision fusion algorithms and
returns the decision fusion algorithm that leads to the best fusion result. The
framework is evaluated with two real-world case studies in the field of fault
diagnosis. In both case studies, the consensus decision of multiple classifiers
and heterogeneous fault diagnosis methods significantly increased the overall
classification accuracy. Our evaluation results show that our framework is of
practical relevance and reliably finds the best performing decision fusion
algorithm for a given combination task.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-03&engl=1}
}
@inproceedings {INPROC-2023-02,
author = {Dennis Treder-Tschechlov and Peter Reimann and Holger Schwarz and Bernhard Mitschang},
title = {{Approach to Synthetic Data Generation for Imbalanced Multi-class Problems with Heterogeneous Groups}},
booktitle = {Tagungsband der 20. Fachtagung Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2019)},
publisher = {GI Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Informatics (LNI)},
pages = {329--351},
type = {Conference Paper},
month = {March},
year = {2023},
keywords = {Machine learning; classification; data generation; real-world data characteristics},
language = {English},
cr-category = {H.2.8 Database Applications},
ee = {https://dl.gi.de/bitstream/handle/20.500.12116/40320/B3-5.pdf?},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {To benchmark novel classification algorithms, these algorithms should be
evaluated on data with characteristics that also appear in real-world use
cases. Important data characteristics that often lead to challenges for
classification approaches are multi-class imbalance and heterogeneous groups.
Heterogeneous groups are sets of real-world entities, where the classification
patterns may vary among different groups and where the groups are typically
imbalanced in the data. Real-world data that comprise these characteristics are
usually not publicly available, e.g., because they constitute sensitive patient
information or due to privacy concerns. Further, the manifestations of the
characteristics cannot be controlled specifically on real-world data. A more
rigorous approach is to synthetically generate data such that different
manifestations of the characteristics can be controlled as well. However,
existing data generators are not able to generate data that feature both data
characteristics, i.e., multi-class imbalance and heterogeneous groups. In this
paper, we propose an approach that fills this gap as it allows to synthetically
generate data that exhibit both characteristics. We make use of a taxonomy
model that organizes real-world entities in domain-specific heterogeneous
groups to generate data reflecting the characteristics of these groups.
Further, we incorporate probability distributions to reflect the imbalances of
multiple classes and groups from real-world use cases. The evaluation shows
that our approach can generate data that feature the data characteristics
multi-class imbalance and heterogeneous groups and that it allows to control
different manifestations of these characteristics.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2023-02&engl=1}
}
@inproceedings {INPROC-2022-08,
author = {Rebecca Eichler and Christoph Gr{\"o}ger and Eva Hoos and Christoph Stach and Holger Schwarz and Bernhard Mitschang},
title = {{Establishing the Enterprise Data Marketplace: Characteristics, Architecture, and Challenges}},
booktitle = {Proceedings of the Workshop on Data Science for Data Marketplaces in Conjunction with the 48th International Conference on Very Large Data Bases},
editor = {Xiaohui Yu and Jian Pei},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Workshop Paper},
month = {September},
year = {2022},
language = {English},
cr-category = {E.m Data Miscellaneous,
H.3.7 Digital Libraries,
H.4.m Information Systems Applications Miscellaneous},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Companies today have increasing amounts of data at their disposal, most of
which is not used, leaving the data value unexploited. In order to leverage the
data value, the data must be democratized, i.e., made available to the company
employees. In this context, the use of enterprise data marketplaces, platforms
for trading data within a company, are proposed. However, specifics of
enterprise data marketplaces and how these can be implemented have not been
investigated in literature so far. To shed light on these topics, we illustrate
the characteristics of an enterprise data marketplace and highlight according
marketplace requirements. We provide an enterprise data marketplace
architecture, discuss how it integrates into a company's system landscape and
present an enterprise data marketplace prototype. Finally, we examine
organizational and technical challenges which arise when operating a
marketplace in the enterprise context. In this paper, we thereby present the
enterprise data marketplace as a distinct marketplace type and provide the
basis for establishing it within a company.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-08&engl=1}
}
@inproceedings {INPROC-2022-07,
author = {Yunxuan Li and Pascal Hirmer and Christoph Stach and Bernhard Mitschang},
title = {{Ensuring Situation-Aware Privacy for Connected Vehicles}},
booktitle = {Proceedings of the 12th International Conference on the Internet of Things (IoT); Delft, Netherlands, November 7 - 10, 2022},
editor = {Evangelos Niforatos and Gerd Kortuem and Nirvana Meratnia and Josh Siegel and Florian Michahelles},
address = {New York, NY, USA},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {135--138},
type = {Conference Paper},
month = {November},
year = {2022},
isbn = {978-1-4503-9665-3},
doi = {10.1145/3567445.3569163},
keywords = {Connected Vehicle; Situation-Awareness; Privacy-Preserving},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
K.6.5 Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {As technology advances in new sensors and software, modern vehicles become
increasingly intelligent. To date, connected vehicles can collect, process, and
share data with other entities in connected vehicle environments. However, in
terms of data collection and exchange, privacy becomes a central issue. It is
challenging to preserve privacy in connected vehicle environments when the
privacy demands of drivers could change from situation to situation even for
the same service. In this paper, we analyze the requirements for a
privacy-preserving system in connected vehicle environments with a focus on
situation-awareness and safety aspects. Based on the analysis, we propose a
novel situation-aware privacy-preserving framework for connected vehicles. Our
framework supports individual privacy protections for specific end-point
services and situation-aware privacy protections for different circumstances.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-07&engl=1}
}
@inproceedings {INPROC-2022-06,
author = {Julian Ziegler and Peter Reimann and Christoph Schulz and Florian Keller and Bernhard Mitschang},
title = {{A Graph Structure to Discover Patterns in Unstructured Processes of Product Development}},
booktitle = {Proceedings of the 23rd International Conference on Information Reuse and Integration for Data Science (IRI 2022)},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {August},
year = {2022},
keywords = {Process Discovery; Unstructured Processes; Process Patterns; Graph Data; Frequent Subgraph Mining},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {A well-known information reuse approach is to exploit event logs for process
discovery and optimization. However, process discovery is rarely used for
product development projects. This is because information systems in product
development, e. g., Product-Lifecycle-Management (PLM) systems, do not provide
the event logs required by process discovery algorithms. Additionally, existing
algorithms struggle with development projects, as these are unstructured and
rich in variety. In this paper, we propose a novel approach to process
discovery in order to make it applicable and tailored to product development
projects. Instead of using flat event logs, we provide a graph-based data
structure that is able to represent both activities and data of product
development projects with the dataflow between activities. Based on this
structure, we can leverage provenance available in PLM systems. Furthermore, we
may use frequent subgraph mining to discover process patterns. Such patterns
are well suited to describe different variants and common sub-processes of
unstructured processes. Using a prototype, we evaluate this approach and
successfully discover prevailing patterns. These patterns may be used by
engineers to support their decision-making or help improve the execution of
development projects.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-06&engl=1}
}
@inproceedings {INPROC-2022-05,
author = {Rebecca Eichler and Christoph Gr{\"o}ger and Eva Hoos and Holger Schwarz and Bernhard Mitschang},
title = {{Data Shopping — How an Enterprise Data Marketplace Supports Data Democratization in Companies}},
booktitle = {Proceedings of the 34th International Conference on Intelligent Information Systems},
editor = {Jochen De Weerdt and Artem Polyvyanyy},
address = {Stuttgart},
publisher = {Springer International Publishing},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Rebecca Eichler},
pages = {19--26},
type = {Conference Paper},
month = {May},
year = {2022},
isbn = {https://doi.org/10.1007/978-3-031-07481-3_3},
keywords = {Data Marketplace; Data Sharing; Data Democratization},
language = {English},
cr-category = {H.0 Information Systems General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {To exploit the company's data value, employees must be able to find, understand
and access it. The process of making corporate data available to the majority
of the company's employees is referred to as data democratization. In this
work, we present the current state and challenges of data democratization in
companies, derived from a comprehensive literature study and expert interviews
we conducted with a manufacturer. In this context a data consumer's journey is
presented that reflects the required steps, tool types and roles for finding,
understanding and accessing data in addition to revealing three data
democratization challenges. To address these challenges we propose the use of
an enterprise data marketplace, a novel type of information system for sharing
data within the company. We developed a prototype based on which a suitability
assessment of a data marketplace yields an improved consumer journey and
demonstrates that the marketplace addresses the data democratization challenges
and consequently, shows that the marketplace is suited for realizing data
democratization.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-05&engl=1}
}
@inproceedings {INPROC-2022-03,
author = {Marco Spie{\ss} and Peter Reimann and Christian Weber and Bernhard Mitschang},
title = {{Analysis of Incremental Learning andWindowing to handle Combined Dataset Shifts on Binary Classification for Product Failure Prediction}},
booktitle = {Proceedings of the 24th International Conference on Enterprise Information Systems (ICEIS 2022)},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {April},
year = {2022},
keywords = {Binary Classification; Dataset Shift; Incremental Learning; Product Failure Prediction; Windowing.},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Dataset Shifts (DSS) are known to cause poor predictive performance in
supervised machine learning tasks. We present a challenging binary
classification task for a real-world use case of product failure prediction.
The target is to predict whether a product, e. g., a truck may fail during the
warranty period. However, building a satisfactory classifier is difficult,
because the characteristics of underlying training data entail two kinds of
DSS. First, the distribution of product configurations may change over time,
leading to a covariate shift. Second, products gradually fail at different
points in time, so that the labels in training data may change, which may a
concept shift. Further, both DSS show a trade-off relationship, i. e.,
addressing one of them may imply negative impacts on the other one. We discuss
the results of an experimental study to investigate how different approaches to
addressing DSS perform when they are faced with both a covariate and a concept
shift. Thereby, we prove that existing approaches, e. g., incremental learning
and windowing, especially suffer from the trade-off between both DSS.
Nevertheless, we come up with a solution for a data-driven classifier that
yields better results than a baseline solution that does not address DSS.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-03&engl=1}
}
@inproceedings {INPROC-2022-01,
author = {Christoph Stach and Cl{\'e}mentine Gritti and Dennis Przytarski and Bernhard Mitschang},
title = {{Can Blockchains and Data Privacy Laws be Reconciled? A Fundamental Study of How Privacy-Aware Blockchains are Feasible}},
booktitle = {Proceedings of the 37th ACM/SIGAPP Symposium On Applied Computing},
editor = {Jiman Hong and Miroslav Bures and Ronald Petrlic and Christoph Sorge},
address = {Brno},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--10},
type = {Conference Paper},
month = {April},
year = {2022},
isbn = {978-1-4503-8713-2},
doi = {10.1145/3477314.3506986},
keywords = {blockchains; immutable; tamper-proof; GDPR; privacy assessment},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
K.6.5 Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Due to the advancing digitalization, the importance of data is constantly
increasing. Application domains such as smart cars, smart cities, or smart
healthcare rely on the permanent availability of large amounts of data to all
parties involved. As a result, the value of data increases, making it a
lucrative target for cyber-attacks. Particularly when human lives depend on the
data, additional protection measures are therefore important for data
management and provision. Blockchains, i.e., decentralized, immutable, and
tamper-proof data stores, are becoming increasingly popular for this purpose.
Yet, from a data protection perspective, the immutable and tamper-proof
properties of blockchains pose a privacy concern. In this paper, we therefore
investigate whether blockchains are in compliance with the General Data
Protection Regulation (GDPR) if personal data are involved. To this end, we
elaborate which articles of the GDPR are relevant in this regard and present
technical solutions for those legal requirements with which blockchains are in
conflict. We further identify open research questions that need to be addressed
in order to achieve a privacy-by-design blockchain system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2022-01&engl=1}
}
@inproceedings {INPROC-2021-11,
author = {Christoph Stach and Julia Br{\"a}cker and Rebecca Eichler and Corinna Giebler and Bernhard Mitschang},
title = {{Demand-Driven Data Provisioning in Data Lakes: BARENTS - A Tailorable Data Preparation Zone}},
booktitle = {Proceedings of the 23rd International Conference on Information Integration and Web-based Applications \& Services (iiWAS2021); Linz, Austria, November 29-December 1, 2021},
editor = {Maria Indrawan-Santiago and Eric Pardede and Ivan Luiz Salvadori and Matthias Steinbauer and Ismail Khalil and Gabriele Kotsis},
address = {New York, NY, United States},
publisher = {Association for Computing Machinery (ACM)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Conference Paper},
month = {November},
year = {2021},
isbn = {978-1-4503-9556-4/21/11},
doi = {10.1145/3487664.3487784},
keywords = {data pre-processing; data transformation; knowledge modeling; ontology; data management; Data Lakes; zone model; food analysis},
language = {English},
cr-category = {H.2.7 Database Administration,
E.2 Data Storage Representations,
H.3.3 Information Search and Retrieval,
H.2.8 Database Applications},
contact = {Senden Sie eine E-Mail an christoph.stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data has never been as significant as it is today. It can be acquired virtually
at will on any subject. Yet, this poses new challenges towards data management,
especially in terms of storage (data is not consumed during processing, i.e.,
the data volume keeps growing), flexibility (new applications emerge), and
operability (analysts are no IT experts). The goal has to be a demand-driven
data provisioning, i.e., the right data must be available in the right form at
the right time. Therefore, we introduce a tailorable data preparation zone for
Data Lakes called BARENTS. It enables users to model in an ontology how to
derive information from data and assign the information to use cases. The data
is automatically processed based on this model and the refined data is made
available to the appropriate use cases. Here, we focus on a resource-efficient
data management strategy. BARENTS can be embedded seamlessly into established
Big Data infrastructures, e.g., Data Lakes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2021-11&engl=1}
}
@inproceedings {INPROC-2021-10,
author = {Alejandro Villanueva Zacarias and Christian Weber and Peter Reimann and Bernhard Mitschang},
title = {{AssistML: A Concept to Recommend ML Solutions for Predictive Use Cases}},
booktitle = {Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2021)},
address = {Porto, Portugal},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {October},
year = {2021},
keywords = {Recommender Systems; Machine Learning; Meta Learning},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The adoption of machine learning (ML) in organizations is characterized by the
use of multiple ML software components. Citizen data scientists face practical
requirements when building ML systems, which go beyond the known challenges of
ML, e. g., data engineering or parameter optimization. They are expected to
quickly identify ML system options that strike a suitable trade-off across
multiple performance criteria. These options also need to be understandable for
non-technical users. Addressing these practical requirements represents a
problem for citizen data scientists with limited ML experience. This calls for
a method to help them identify suitable ML software combinations. Related work,
e. g., AutoML systems, are not responsive enough or cannot balance different
performance criteria. In this paper, we introduce AssistML, a novel concept to
recommend ML solutions, i. e., software systems with ML models, for predictive
use cases. AssistML uses metadata of existing ML solutions to quickly identify
and explain options for a new use case. We implement the approach and evaluate
it with two exemplary use cases. Results show that AssistML proposes ML
solutions that are in line with users{\^a}€™ performance preferences in seconds.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2021-10&engl=1}
}
@inproceedings {INPROC-2021-07,
author = {Julian Ziegler and Peter Reimann and Florian Keller and Bernhard Mitschang},
title = {{A Metadata Model to Connect Isolated Data Silos and Activities of the CAE Domain}},
booktitle = {Proceedings of the 33rd International Conference on Advanced Information Systems Engineering (CAiSE)},
publisher = {Springer International Publishing},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {213--228},
type = {Conference Paper},
month = {June},
year = {2021},
keywords = {Metadata Models; Graphs; Computer-aided Engineering},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Computer-aided engineering (CAE) applications support the digital
transformation of the manufacturing industry. They facilitate virtual product
development and product testing via computer simulations. CAE applications
generate vast quantities of heterogeneous data. Domain experts struggle to
access and analyze them, because such engineering data are not sufficiently
described with metadata. In this paper, we characterize the CAE domain and
identify unsolved challenges for a tailored data and metadata management. For
instance, work activities in product development projects and their
relationships to data are not represented explicitly in current metadata
models. We propose a metadata model that addresses all challenges and provides
a connected view on all CAE data, metadata, and work activities of development
projects. We validate the feasibility of our metadata model through a
prototypical implementation and its application to a real-world use case. This
verifies that our metadata model addresses the CAE-specific challenges and this
way eases the task of domain experts to exploit relevant data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2021-07&engl=1}
}
@inproceedings {INPROC-2021-06,
author = {Rebecca Eichler and Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Holger Schwarz and Bernhard Mitschang},
title = {{Enterprise-Wide Metadata Management - An Industry Case on the Current State and Challenges}},
booktitle = {24thInternational Conference on Business Information Systems},
editor = {Witold Abramowicz and S{\"o}ren Auer and Lewa\&\#324 and El\&\#380 Ska and Bieta},
publisher = {TIB Open Publishing},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {269--279},
type = {Conference Paper},
month = {July},
year = {2021},
doi = {https://doi.org/10.52825/bis.v1i.47},
language = {English},
cr-category = {A.0 General Literature, General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Abstract. Metadata management is a crucial success factor for companies today,
as for example, it enables exploiting data value fully or enables legal
compliance. With the emergence of new concepts, such as the data lake, and new
objectives, such as the enterprise-wide sharing of data, metadata management
has evolved and now poses a renewed challenge for companies. In this context,
we interviewed a globally active manufacturer to reveal how metadata management
is implemented in practice today and what challenges companies are faced with
and whether these constitute research gaps. As an outcome, we present the
company{\^a}€™s metadata management goals and their corresponding solution
approaches and challenges. An evaluation of the challenges through a literature
and tool review yields three research gaps, which are concerned with the
topics: (1) metadata management for data lakes, (2) categorizations and
compositions of metadata management tools for comprehensive metadata
management, and (3) the use of data marketplaces as metadata-driven exchange
platforms within an enterprise. The gaps lay the groundwork for further
research activities in the field of metadata management and the industry case
represents a starting point for research to realign with real-world industry
needs.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2021-06&engl=1}
}
@inproceedings {INPROC-2021-05,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Rebecca Eichler and Holger Schwarz and Bernhard Mitschang},
title = {{The Data Lake Architecture Framework}},
booktitle = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2021), 19. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), 13.-17. September 2021, Dresden, Germany},
publisher = {Gesellschaft f{\"u}r Informatik},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {351--370},
type = {Conference Paper},
month = {September},
year = {2021},
doi = {10.18420/btw2021-19},
language = {English},
cr-category = {H.4 Information Systems Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {During recent years, data lakes emerged as a way to manage large amounts of
heterogeneous data for modern data analytics. Although various work on
individual aspects of data lakes exists, there is no comprehensive data lake
architecture yet. Concepts that describe themselves as a {\^a}€œdata lake
architecture{\^a}€ are only partial. In this work, we introduce the data lake
architecture framework. It supports the definition of data lake architectures
by defining nine architectural aspects, i.e., perspectives on a data lake, such
as data storage or data modeling, and by exploring the interdependencies
between these aspects. The included methodology helps to choose appropriate
concepts to instantiate each aspect. To evaluate the framework, we use it to
configure an exemplary data lake architecture for a real-world data lake
implementation. This final assessment shows that our framework provides
comprehensive guidance in the configuration of a data lake architecture.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2021-05&engl=1}
}
@inproceedings {INPROC-2020-55,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Holger Schwarz and Bernhard Mitschang},
title = {{A Zone Reference Model for Enterprise-Grade Data Lake Management}},
booktitle = {Proceedings of the 24th IEEE Enterprise Computing Conference},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {57--66},
type = {Conference Paper},
month = {October},
year = {2020},
keywords = {Data Lake; Zones; Reference Model; Industry Case; Industry Experience},
language = {English},
cr-category = {H.4 Information Systems Applications},
contact = {Senden Sie eine E-Mail an corinna.giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data lakes are on the rise as data platforms for any kind of analytics, from
data exploration to machine learning. They achieve the required flexibility by
storing heterogeneous data in their raw format, and by avoiding the need for
pre-defined use cases. However, storing only raw data is inefficient, as for
many applications, the same data processing has to be applied repeatedly. To
foster the reuse of processing steps, literature proposes to store data in
different degrees of processing in addition to their raw format. To this end,
data lakes are typically structured in zones. There exists various zone models,
but they are varied, vague, and no assessments are given. It is unclear which
of these zone models is applicable in a practical data lake implementation in
enterprises. In this work, we assess existing zone models using requirements
derived from multiple representative data analytics use cases of a real-world
industry case. We identify the shortcomings of existing work and develop a zone
reference model for enterprise-grade data lake management in a detailed manner.
We assess the reference model's applicability through a prototypical
implementation for a real-world enterprise data lake use case. This assessment
shows that the zone reference model meets the requirements relevant in practice
and is ready for industry use.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-55&engl=1}
}
@inproceedings {INPROC-2020-50,
author = {Rebecca Eichler and Corinna Giebler and Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{HANDLE - A Generic Metadata Model for Data Lakes}},
booktitle = {Big Data Analytics and Knowledge Discovery: 22nd International Conference, DaWaK 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings},
publisher = {Springer, Cham},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {73--88},
type = {Conference Paper},
month = {September},
year = {2020},
language = {English},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The substantial increase in generated data induced the development of new
concepts such as the data lake. A data lake is a large storage repository
designed to enable flexible extraction of the data{\^a}€™s value. A key aspect of
exploiting data value in data lakes is the collection and management of
metadata. To store and handle the metadata, a generic metadata model is
required that can reflect metadata of any potential metadata management use
case, e.g., data versioning or data lineage. However, an evaluation of existent
metadata models yields that none so far are sufficiently generic. In this work,
we present HANDLE, a generic metadata model for data lakes, which supports the
flexible integration of metadata, data lake zones, metadata on various granular
levels, and any metadata categorization. With these capabilities HANDLE enables
comprehensive metadata management in data lakes. We show HANDLE{\^a}€™s feasibility
through the application to an exemplary access-use-case and a prototypical
implementation. A comparison with existent models yields that HANDLE can
reflect the same information and provides additional capabilities needed for
metadata management in data lakes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-50&engl=1}
}
@inproceedings {INPROC-2020-48,
author = {Dennis Przytarski and Christoph Stach and Cl{\'e}mentine Gritti and Bernhard Mitschang},
title = {{A Blueprint for a Trustworthy Health Data Platform Encompassing IoT and Blockchain Technologies}},
booktitle = {Proceedings of the ISCA 29th International Conference on Software Engineering and Data Engineering (Las Vegas, October 2020)},
publisher = {ISCA in Cooperation with IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {1--10},
type = {Conference Paper},
month = {October},
year = {2020},
language = {English},
cr-category = {H.2.7 Database Administration,
K.6.5 Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {eHealth provides great relief for patients and physicians. This means, patients
autonomously monitor their condition via IoT medical devices and make these
data available to physicians for analyses. This requires a data platform that
takes care of data acquisition, management, and provisioning. As health data
are highly sensitive, there are major concerns regarding data security with
respect to confidentiality, integrity, and authenticity. To this end, we
present a blueprint for constructing a trustworthy health data platform called
SEAL. It provides a lightweight attribute-based authentication mechanism for
IoT devices to validate all involved data sources, there is a fine-grained data
provisioning system to enable data provision according to actual requirements,
and a verification procedure ensures that data cannot be manipulated.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-48&engl=1}
}
@inproceedings {INPROC-2020-45,
author = {Rebecca Eichler and Corinna Giebler and Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{HANDLE - A Generic Metadata Model for Data Lakes}},
booktitle = {Big Data Analytics and Knowledge Discovery},
editor = {Min Song and Il-Yeol Song and Gabriele Kotsis and A Min Tjoa and Ismail Khalil},
publisher = {Springer Nature Switzerland AG},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science},
volume = {12393},
pages = {73--88},
type = {Conference Paper},
month = {September},
year = {2020},
doi = {https://doi.org/10.1007/978-3-030-59065-9_7},
keywords = {Metadata management; Metadata model; Data lake},
language = {English},
cr-category = {H.2 Database Management},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2020-45/INPROC-2020-45.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The substantial increase in generated data induced the development of new
concepts such as the data lake. A data lake is a large storage repository
designed to enable flexible extraction of the data's value. A key aspect of
exploiting data value in data lakes is the collection and management of
metadata. To store and handle the metadata, a generic metadata model is
required that can reflect metadata of any potential metadata management use
case, e.g., data versioning or data lineage. However, an evaluation of existent
metadata models yields that none so far are sufficiently generic. In this work,
we present HANDLE, a generic metadata model for data lakes, which supports the
flexible integration of metadata, data lake zones, metadata on various granular
levels, and any metadata categorization. With these capabilities HANDLE enables
comprehensive metadata management in data lakes. We show HANDLE's feasibility
through the application to an exemplary access-use-case and a prototypical
implementation. A comparison with existent models yields that HANDLE can
reflect the same information and provides additional capabilities needed for
metadata management in data lakes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-45&engl=1}
}
@inproceedings {INPROC-2020-37,
author = {Mathias Mormul and Pascal Hirmer and Christoph Stach and Bernhard Mitschang},
title = {{DEAR: Distributed Evaluation of Alerting Rules}},
booktitle = {IEEE 13th International Conference on Cloud Computing (CLOUD)},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--1},
type = {Conference Paper},
month = {December},
year = {2020},
keywords = {cloud monitoring; agent-based; alerting},
language = {English},
cr-category = {H.0 Information Systems General},
contact = {mathias.mormul@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Cloud computing passed the hype cycle long ago and firmly established itself as
a future technology since then. However, to utilize the cloud as
cost-efficiently as possible, a continuous monitoring is key to prevent an
over- or undercommissioning of resources. In large-scaled scenarios, several
challenges for cloud monitoring, such as high network traffic volume, low
accuracy of monitoring data, and high time-toinsight, require new approaches in
IT Operations while considering administrative complexity. To handle these
challenges, we present DEAR, the Distributed Evaluation of Alerting Rules. DEAR
is a plugin for monitoring systems which automatically distributes alerting
rules to the monitored resources to solve the trade-off between high accuracy
and low network traffic volume without administrative overhead. We evaluate our
approach against requirements of today{\^a}€™s IT monitoring and compare it to
conventional agent-based monitoring approaches.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-37&engl=1}
}
@inproceedings {INPROC-2020-32,
author = {Vitali Hirsch and Peter Reimann and Bernhard Mitschang},
title = {{Exploiting Domain Knowledge to Address Multi-Class Imbalance and a Heterogeneous Feature Space in Classification Tasks for Manufacturing Data}},
booktitle = {Proceedings of the 46th International Conference on Very Large Databases (VLDB)},
editor = {Magdalena Balazinska and Xiaofang Zhou},
publisher = {ACM Digital Library},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Proceedings of the VLDB Endowment},
volume = {13(12)},
type = {Conference Paper},
month = {August},
year = {2020},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Classification techniques are increasingly adopted for quality control in
manufacturing, e. g., to help domain experts identify the cause of quality
issues of defective products. However, real-world data often imply a set of
analytical challenges, which lead to a reduced classification performance.
Major challenges are a high degree of multi-class imbalance within data and a
heterogeneous feature space that arises from the variety of underlying
products. This paper considers such a challenging use case in the area of
End-of-Line testing, i. e., the final functional test of complex products.
Existing solutions to classification or data pre-processing only address
individual analytical challenges in isolation. We propose a novel
classification system that explicitly addresses both challenges of multi-class
imbalance and a heterogeneous feature space together. As main contribution,
this system exploits domain knowledge to systematically prepare the training
data. Based on an experimental evaluation on real-world data, we show that our
classification system outperforms any other classification technique in terms
of accuracy. Furthermore, we can reduce the amount of rework required to solve
a quality issue of a product.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-32&engl=1}
}
@inproceedings {INPROC-2020-31,
author = {Yannick Wilhelm and Peter Reimann and Wolfgang Gauchel and Bernhard Mitschang},
title = {{Overview on Hybrid Approaches to Fault Detection and Diagnosis: Combining Data-driven, Physics-based and Knowledge-based Models}},
booktitle = {Procedia CIRP: Proceedings of the 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME)},
publisher = {Elsevier BV},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {July},
year = {2020},
keywords = {Fault Detection; Fault Diagnosis; Hybrid Methods; Diagnostics and Maintenance; Knowledge-driven Methods; Machine Learning},
language = {English},
cr-category = {H.2.8 Database Applications,
I.2.1 Applications and Expert Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper, we review hybrid approaches for fault detection and fault
diagnosis (FDD) that combine data-driven analysis with physics-based and
knowledge-based models to overcome a lack of data and to increase the FDD
accuracy. We categorize these hybrid approaches according to the steps of an
extended common workflow for FDD. This gives practitioners indications of which
kind of hybrid FDD approach they can use in their application.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-31&engl=1}
}
@inproceedings {INPROC-2020-20,
author = {Yannick Wilhelm and Ulf Schreier and Peter Reimann and Bernhard Mitschang and Holger Ziekow},
title = {{Data Science Approaches to Quality Control in Manufacturing: A Review of Problems, Challenges and Architecture}},
booktitle = {Springer Proceedings Series Communications in Computer and Information Science (CCIS)},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {October},
year = {2020},
keywords = {Data Science; Machine Learning; Quality Control; Challenges; Functional Architecture},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Manufacturing environments are characterized by non-stationary processes,
constantly varying conditions, complex process interdependencies, and a high
number of product variants. These and other aspects pose several challenges for
common machine learning algorithms to achieve reliable and accurate
predictions. This overview and vision paper provides a comprehensive list of
common problems and challenges for data science approaches to quality control
in manufacturing. We have derived these problems and challenges by inspecting
three real-world use cases in the eld of product quality control and via a
comprehensive literature study. We furthermore associate the identi ed problems
and challenges to individual layers and components of a functional setup, as it
can be found in manufacturing environments today. Additionally, we extend and
revise this functional setup and this way propose our vision of a future
functional software architecture. This functional architecture represents a
visionary blueprint for solutions that are able to address all challenges for
data science approaches in manufacturing quality control.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-20&engl=1}
}
@inproceedings {INPROC-2020-18,
author = {Julian Ziegler and Peter Reimann and Florian Keller and Bernhard Mitschang},
title = {{A Graph-based Approach to Manage CAE Data in a Data Lake}},
booktitle = {Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020)},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {July},
year = {2020},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Computer-aided engineering (CAE) applications generate vast quantities of
heterogeneous data. Domain experts often fail to explore and analyze these
data, because they are not integrated across di erent applications. Existing
data management solutions are rather tailored to scientific applications. In
our approach, we tackle this issue by combining a data lake solution with
graph-based metadata management. This provides a holistic view of all CAE data
and of the data-generating applications in one interconnected structure. Based
on a prototypical implementation, we discuss how this eases the task of domain
experts to explore and extract data for further analyses.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-18&engl=1}
}
@inproceedings {INPROC-2020-17,
author = {Vitali Hirsch and Peter Reimann and Bernhard Mitschang},
title = {{Incorporating Economic Aspects into Recommendation Ranking to Reduce Failure Costs}},
booktitle = {Procedia CIRP: Proceedings of the 53rd CIRP Conference on Manufacturing Systems (CIRP CMS 2020)},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {July},
year = {2020},
keywords = {decision support; predictive analytics; quality control; End-of-Line testing; classification; fault isolation; failure costs},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Machine learning approaches for manufacturing usually o er recommendation
lists, e.g., to support humans in fault diagnosis. For instance, if a product
does not pass the final check after the assembly, a recommendation list may
contain likely faulty product components to be replaced. Thereby, the list
ranks these components using their probabilities. However, these probabilities
often di er marginally, while economic impacts, e.g., the costs for replacing
components, di er significantly. We address this issue by proposing an approach
that incorporates costs to re-rank a list. Our evaluation shows that this
approach reduces fault-related costs when using recommendation lists to support
human labor.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-17&engl=1}
}
@inproceedings {INPROC-2020-11,
author = {Mathias Mormul and Pascal Hirmer and Christoph Stach and Bernhard Mitschang},
title = {{Avoiding Vendor-Lockin in Cloud Monitoring using Generic Agent Templates}},
booktitle = {Proceedings of the 23rd International Conference on Business Information Systems (BIS), 2020},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--1},
type = {Conference Paper},
month = {June},
year = {2020},
keywords = {Vendor Lock-in; Cloud monitoring; Monitoring agents; Genericity},
language = {German},
cr-category = {H.4.0 Information Systems Applications General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Cloud computing passed the hype cycle long ago and firmly established itself as
a future technology since then. However, to utilize the cloud optimally, and
therefore, as cost-efficiently as possible, a continuous monitoring is key to
prevent an over- or under-commissioning of resources. However, selecting a
suitable monitoring solution is a challenging task. Monitoring agents that
collect monitoring data are spread across the monitored IT environment.
Therefore, the possibility of vendor lock-ins leads to a lack of flexibility
when the cloud environment or the business needs change. To handle these
challenges, we introduce $\backslash$textit{generic agent templates} that are applicable
to many monitoring systems and support a replacement of monitoring systems.
Solution-specific technical details of monitoring agents are abstracted from
and system administrators only need to model generic agents, which can be
transformed into solution-specific monitoring agents. The transformation logic
required for this process is provided by domain experts to not further burden
system administrators. Furthermore, we introduce an agent lifecycle to support
the system administrator with the management and deployment of generic agents.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-11&engl=1}
}
@inproceedings {INPROC-2020-07,
author = {Christoph Stach and Cl{\'e}mentine Gritti and Dennis Przytarski and Bernhard Mitschang},
title = {{Trustworthy, Secure, and Privacy-aware Food Monitoring Enabled by Blockchains and the IoT}},
booktitle = {Proceedings of the 18th Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 23-27 March, 2020, Austin, Texas, USA},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--4},
type = {Conference Paper},
month = {March},
year = {2020},
keywords = {Attribute-based Credentials; Blockchain; Data Authentication; IoT; Privacy; Service Utility; Transparency; Trust},
language = {English},
cr-category = {K.6.5 Security and Protection,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {A large number of food scandals (e.g., falsely declared meat or non-compliance
with hygiene regulations) are causing considerable concern to consumers.
Although Internet of Things (IoT) technologies are used in the food industry to
monitor production (e.g., for tracing the origin of meat or monitoring cold
chains), the gathered data are not used to provide full transparency to the
consumer. To achieve this, however, three aspects must be considered: a) The
origin of the data must be verifiable, i.e., it must be ensured that the data
originate from calibrated sensors. b) The data must be stored tamper-resistant,
immutable, and open to all consumers. c) Despite this openness, the privacy of
affected data subjects (e.g., the carriers) must still be protected. To this
end, we introduce the SHEEPDOG architecture that {\ss}hepherds`` products from
production to purchase to enable a trustworthy, secure, and privacy-aware food
monitoring. In SHEEPDOG, attribute-based credentials ensure trustworthy data
acquisition, blockchain technologies provide secure data storage, and
fine-grained access control enables privacy-aware data provision.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-07&engl=1}
}
@inproceedings {INPROC-2020-06,
author = {Cornelia Kiefer and Peter Reimann and Bernhard Mitschang},
title = {{Prevent Low-Quality Analytics by Automatic Selection of the Best-Fitting Training Data}},
booktitle = {Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS)},
address = {Maui, Hawaii, USA},
publisher = {Online},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1036--1045},
type = {Conference Paper},
month = {January},
year = {2020},
isbn = {978-0-9981331-3-3},
keywords = {data quality; domain-specific data analysis; text analysis; text similarity; training data},
language = {English},
cr-category = {I.2.7 Natural Language Processing},
ee = {https://scholarspace.manoa.hawaii.edu/bitstream/10125/63868/0103.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data analysis pipelines consist of a sequence of various analysis tools. Most
of these tools are based on supervised machine learning techniques and thus
rely on labeled training data. Selecting appropriate training data has a
crucial impact on analytics quality. Yet, most of the times, domain experts who
construct analysis pipelines neglect the task of selecting appropriate training
data. They rely on default training data sets, e.g., since they do not know
which other training data sets exist and what they are used for. Yet, default
training data sets may be very different from the domain-specific input data
that is to be analyzed, leading to low-quality results. Moreover, these input
data sets are usually unlabeled. Thus, information on analytics quality is not
measurable with evaluation metrics. Our contribution comprises a method that
(1) indicates the expected quality to the domain expert while constructing the
analysis pipeline, without need for labels and (2) automatically selects the
best-fitting training data. It is based on a measurement of the similarity
between input and training data. In our evaluation, we consider the
part-of-speech tagger tool and show that Latent Semantic Analysis (LSA) and
Cosine Similarity are suited as indicators for the quality of analysis results
and as basis for an automatic selection of the best-fitting training data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-06&engl=1}
}
@inproceedings {INPROC-2020-04,
author = {Christoph Stach and Cl{\'e}mentine Gritti and Bernhard Mitschang},
title = {{Bringing Privacy Control back to Citizens: DISPEL - A Distributed Privacy Management Platform for the Internet of Things}},
booktitle = {Proceedings of the 35th ACM/SIGAPP Symposium On Applied Computing (PDP).},
address = {Brno, Czech Republic},
publisher = {ACM Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {March},
year = {2020},
keywords = {privacy; IoT; authorization concept; attribute-based access control},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things (IoT) is becoming increasingly popular. It enables a
variety of novel applications. Such applications require a lot of data about
their users. To this end, sensors continuously monitor various aspects of daily
life. Despite the indisputable benefits of IoT applications, this is a severe
privacy threat. Due to the GDPR coming into force, there is a need for action
on the part of IoT vendors. In this paper, we therefore introduce a Privacy by
Design approach for IoT applications called DISPEL. It provides a configuration
method enabling users to specify globally, which application may access what
data for which purpose. Privacy protection is then applied at the earliest
stage possible, i.e., directly on the IoT devices generating the data. Data
transmission is protected against unauthorized access and manipulation.
Evaluation results show that DISPEL fulfills the requirements towards an IoT
privacy system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-04&engl=1}
}
@inproceedings {INPROC-2020-03,
author = {Christoph Stach and Corinna Giebler and Manuela Wagner and Christian Weber and Bernhard Mitschang},
title = {{AMNESIA: A Technical Solution towards GDPR-compliant Machine Learning}},
booktitle = {Proceedings of the 6th International Conference on Information Systems Security and Privacy (ICISSP 2020)},
editor = {Steven Furnell and Paolo Mori and Edgar Weippl and Olivier Camp},
address = {Valletta, Malta},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Conference Paper},
month = {February},
year = {2020},
keywords = {Machine Learning; Data Protection; Privacy Zones; Access Control; Model Management; Provenance; GDPR},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
I.5.1 Pattern Recognition Models},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Machine Learning (ML) applications are becoming increasingly valuable due to
the rise of IoT technologies. That is, sensors continuously gather data from
different domains and make them available to ML for learning its models. This
provides profound insights into the data and enables predictions about future
trends. While ML has many advantages, it also represents an immense privacy
risk. Data protection regulations such as the GDPR address such privacy
concerns, but practical solutions for the technical enforcement of these laws
are also required. Therefore, we introduce AMNESIA, a privacy-aware machine
learning model provisioning platform. AMNESIA is a holistic approach covering
all stages from data acquisition to model provisioning. This enables to control
which application may use which data for ML as well as to make models ``forget''
certain knowledge.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2020-03&engl=1}
}
@inproceedings {INPROC-2019-32,
author = {Vitali Hirsch and Peter Reimann and Bernhard Mitschang},
title = {{Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products}},
booktitle = {Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), Washington, D.C., USA},
publisher = {IEEE Xplore},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {October},
year = {2019},
keywords = {decision support; classification; ensembles; automotive; fault diagnosis; quality management; sampling},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Machine learning approaches may support various use cases in the manufacturing
industry. However, these approaches often do not address the inherent
characteristics of the real manufacturing data at hand. In fact, real data
impose analytical challenges that have a strong influence on the performance
and suitability of machine learning methods. This paper considers such a
challenging use case in the area of End-of-Line testing, i.e., the final
functional check of complex products after the whole assembly line. Here,
classification approaches may be used to support quality engineers in
identifying faulty components of defective products. For this, we discuss
relevant data sources and their characteristics, and we derive the resulting
analytical challenges. We have identified a set of sophisticated data-driven
methods that may be suitable to our use case at first glance, e.g., methods
based on ensemble learning or sampling. The major contribution of this paper is
a thorough comparative study of these methods to identify whether they are able
to cope with the analytical challenges. This comprises the discussion of both
fundamental theoretical aspects and major results of detailed experiments we
have performed on the real data of our use case.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-32&engl=1}
}
@inproceedings {INPROC-2019-09,
author = {Christoph Stach and Bernhard Mitschang},
title = {{ECHOES: A Fail-safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things}},
booktitle = {Proceedings of the 23rd European Conference on Advances in Databases and Information Systems: ADBIS '19; Bled, Slovenia, September 8-11, 2019},
editor = {Tatjana Welzer and Johann Eder and Vili Podgorelec and Aida Kamisalic Latific},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science (LNCS)},
pages = {1--16},
type = {Conference Paper},
month = {September},
year = {2019},
keywords = {Internet of Things; Data Exchange; Synchronization Protocol},
language = {English},
cr-category = {H.2.7 Database Administration,
H.2.4 Database Management Systems},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things (IoT) and Smart Services are becoming increasingly
popular. Such services adapt to a user's needs by using sensors to detect the
current situation. Yet, an IoT service has to capture its required data by
itself, even if another service has already captured it before. There is no
data exchange mechanism adapted to the IoT which enables sharing of sensor data
among services and across devices.
Therefore, we introduce a data management mechanism for the IoT. Due to its
applied state-based synchronization protocol called ECHOES. It is fail-safe in
case of connection failures, it detects and handles data conflicts, it is
geared towards devices with limited resources, and it is highly scalable. We
embed ECHOES into a data provisioning infrastructure, namely the Privacy
Management Platform and the Secure Data Container. Evaluation results verify
the practicability of our approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-09&engl=1}
}
@inproceedings {INPROC-2019-08,
author = {Cornelia Kiefer and Peter Reimann and Bernhard Mitschang},
title = {{A Hybrid Information Extraction Approach Exploiting Structured Data Within a Text Mining Process}},
booktitle = {18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. M{\"a}rz 2019, Rostock, Germany, Proceedings.},
editor = {Torsten Grust and Felix Naumann and Alexander B{\"o}hm and Wolfgang Lehner and Theo H{\"a}rder and Erhard et al. Rahm},
address = {Bonn},
publisher = {Gesellschaft f$\backslash$``{u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {149--168},
type = {Conference Paper},
month = {March},
year = {2019},
keywords = {information extraction; clustering; text mining; free text fields},
language = {English},
cr-category = {I.2.7 Natural Language Processing},
ee = {https://doi.org/10.18420/btw2019-10},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Many data sets encompass structured data fields with embedded free text fields.
The text fields allow customers and workers to input information which cannot
be encoded in structured fields. Several approaches use structured and
unstructured data in isolated analyses. The result of isolated mining of
structured data fields misses crucial information encoded in free text. The
result of isolated text mining often mainly repeats information already
available from structured data. The actual information gain of isolated text
mining is thus limited. The main drawback of both isolated approaches is that
they may miss crucial information. The hybrid information extraction approach
suggested in this paper adresses this issue. Instead of extracting information
that in large parts was already available beforehand, it extracts new, valuable
information from free texts. Our solution exploits results of analyzing
structured data within the text mining process, i.e., structured information
guides and improves the information extraction process on textual data. Our
main contributions comprise the description of the concept of hybrid
information extraction as well as a prototypical implementation and an
evaluation with two real-world data sets from aftersales and production with
English and German free text fields.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-08&engl=1}
}
@inproceedings {INPROC-2019-06,
author = {Christoph Stach and Frank Steimle and Clementine Gritti and Bernhard Mitschang},
title = {{PSSST! The Privacy System for Smart Service Platforms: An Enabler for Confidable Smart Environments}},
booktitle = {Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (IoTBDS '19)},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Conference Paper},
month = {May},
year = {2019},
keywords = {Privacy; Access Control; Internet of Things; Smart Service Platform; Sensors; Actuators; Stream Processing},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things and its applications are becoming increasingly popular.
Especially Smart Service Platforms like Alexa are in high demand. Such a
platform retrieves data from sensors, processes them in a back-end, and
controls actuators in accordance with the results. Thereby, all aspects of our
everyday life can be managed. In this paper, we reveal the downsides of this
technology by identifying its privacy threats based on a real-world
application. Our studies show that current privacy systems do not tackle these
issues adequately. Therefore, we introduce PSSST!, a user-friendly and
comprehensive privacy system for Smart Service Platforms limiting the amount of
disclosed private information while maximizing the quality of service at the
same time.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2019-06&engl=1}
}
@inproceedings {INPROC-2018-54,
author = {Alejandro Villanueva Zacarias and Peter Reimann and Bernhard Mitschang},
title = {{A Framework to Guide the Selection and Configuration of Machine-Learning-based Data Analytics Solutions in Manufacturing}},
booktitle = {Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018)},
publisher = {Elsevier BV},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {153--158},
type = {Conference Paper},
month = {May},
year = {2018},
keywords = {data analytics; machine learning; learning algorithms; generative design},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Users in manufacturing willing to apply machine-learning-based (ML-based) data
analytics face challenges related to data quality or to the selection and
configuration of proper ML algorithms. Current approaches are either purely
empirical or reliant on technical data. This makes understanding and comparing
candidate solutions difficult, and also ignores the way it impacts the real
application problem. In this paper, we propose a framework to generate
analytics solutions based on a systematic profiling of all aspects involved.
With it, users can visually and systematically explore relevant alternatives
for their specific scenario, and obtain recommendations in terms of costs,
productivity, results quality, or execution time.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-54&engl=1}
}
@inproceedings {INPROC-2018-53,
author = {Vitali Hirsch and Peter Reimann and Oliver Kirn and Bernhard Mitschang},
title = {{Analytical Approach to Support Fault Diagnosis and Quality Control in End-Of-Line Testing}},
booktitle = {Proceedings of the 51st CIRP Conference on Manufacturing Systems (CIRP CMS 2018)},
publisher = {Elsevier BV},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1333--1338},
type = {Conference Paper},
month = {May},
year = {2018},
keywords = {Analytics; decision support; recommendation system; fault diagnosis; quality control},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Operators in end-of-line testing of assembly lines often try out multiple
solutions until they can solve a product quality issue. This calls for a
decision support system based on data analytics that effectively helps
operators in fault diagnosis and quality control. However, existing analytical
approaches do not consider the specific data characteristics being prevalent in
the area of End-of-Line (EoL) testing. We address this issue by proposing an
analytical approach that is tailored to EoL testing. We show how to implement
this approach in a real-world use case of a large automotive manufacturer,
which reveals its potential to reduce unnecessary rework.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-53&engl=1}
}
@inproceedings {INPROC-2018-38,
author = {Andreas Liebing and Lutz Ashauer and Uwe Breitenb{\"u}cher and Thomas G{\"u}nther and Michael Hahn and K{\'a}lm{\'a}n K{\'e}pes and Oliver Kopp and Frank Leymann and Bernhard Mitschang and Ana C. Franco da Silva and Ronald Steinke},
title = {{The SmartOrchestra Platform: A Configurable Smart Service Platform for IoT Systems}},
booktitle = {Papers from the 12th Advanced Summer School on Service-Oriented Computing (SummerSoC 2018)},
publisher = {IBM Research Division},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {14--21},
type = {Conference Paper},
month = {October},
year = {2018},
keywords = {SmartOrchestra Platform; Smart Services; Cyber-Physical Systems; Internet of Things},
language = {English},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.7 Software Engineering Distribution, Maintenance, and Enhancement,
D.2.12 Software Engineering Interoperability},
ee = {https://www.2018.summersoc.eu/},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {The Internet of Things is growing rapidly while still missing a universal
operat-ing and management platform for multiple diverse use cases. Such a
platform should provide all necessary functionalities and the underlying
infrastructure for the setup, execution and composition of Smart Services. The
concept of Smart Services enables the connection and integration of
cyber-physical systems (CPS) and technologies (i.e., sensors and actuators)
with business-related applications and services. Therefore, the SmartOrchestra
Platform provides an open and standards-based service platform for the
utilization of public administrative and business-related Smart Services. It
combines the features of an operating plat-form, a marketplace, a broker, and a
notary for a cloud-based operation of Smart Services. Thus, users of
cyber-physical systems are free to choose their control applications, no matter
what device they are using (e.g., smartphone, tablet or personal computer) and
they also become independent of the manufacturers’ software. This will enable
new business opportunities for different stakeholders in the market and allows
flexibly composing Smart Services.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-38&engl=1}
}
@inproceedings {INPROC-2018-34,
author = {Ana Cristina Franco da Silva and Pascal Hirmer and Rafael Koch Peres and Bernhard Mitschang},
title = {{An Approach for CEP Query Shipping to Support Distributed IoT Environments}},
booktitle = {Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {247--252},
type = {Conference Paper},
month = {October},
year = {2018},
isbn = {978-1-5386-3227-7},
doi = {10.1109/PERCOMW.2018.8480241},
language = {English},
cr-category = {H.0 Information Systems General},
ee = {https://ieeexplore.ieee.org/document/8480241},
contact = {francoaa@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-34&engl=1}
}
@inproceedings {INPROC-2018-28,
author = {Mathias Mormul and Pascal Hirmer and Matthias Wieland and Bernhard Mitschang},
title = {{Layered Modeling Approach for Distributed Situation Recognition in Smart Environments}},
booktitle = {Tagungsband: SMART 2018, The Seventh International Conference on Smart Cities, Systems, Devices and Technologies},
publisher = {Xpert Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {47--53},
type = {Conference Paper},
month = {July},
year = {2018},
isbn = {978-1-61208-653-8},
keywords = {Industry 4.0; Edge Computing; Smart Factories; Smart Homes; Situation Recognition; Distribution Pattern},
language = {English},
cr-category = {H.0 Information Systems General},
contact = {mathias.mormul@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-28&engl=1}
}
@inproceedings {INPROC-2018-24,
author = {Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Matthias Schneider and Emir Cuk and Thomas Bauernhansl and Matthias Wieland and Frank Steimle and Bernhard Mitschang},
title = {{Implementation of the MIALinx Integration Concept for Future Manufacturing Environments to Enable Retrofitting of Machines}},
booktitle = {Proceedings of the 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME '18); Naples, Italy, July 18-20, 2018},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {596--601},
type = {Conference Paper},
month = {July},
year = {2018},
doi = {10.1016/j.procir.2019.02.084},
keywords = {Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus; Rules; Integration; MIALinx},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
I.2.1 Applications and Expert Systems},
ee = {http://www.sciencedirect.com/science/article/pii/S221282711930201X},
contact = {Frank.Steimle@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Manufacturing has to adapt permanently to changing situations in order to stay
competitive. It demands a flexible and easy-to-use integration of production
equipment and ICT systems on the shop floor. The contribution of this paper is
the presentation of the implementation architecture of the Manufacturing
Integration Assistant (MIALinx) that simplifies this challenge. The integration
steps range from integrating sensors over collecting and rule-based processing
of sensor information to the execution of required actions. Furthermore, we
describe the implementation of MIALinx by commissioning it in a manufacturing
environment to retrofit legacy machines for Industrie 4.0. Finally, we validate
the suitability of our approach by applying our solution in the production
environment of a medium-size company.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-24&engl=1}
}
@inproceedings {INPROC-2018-22,
author = {Rachaa Ghabri and Pascal Hirmer and Bernhard Mitschang},
title = {{A Hybrid Approach to Implement Data Driven Optimization into Production Environments}},
booktitle = {Proceedings of the 21st International Conference on Business Information Systems (BIS)},
editor = {Witold Abramowicz and Adrian Paschke},
publisher = {Springer Berlin Heidelberg},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Business Information Processing},
volume = {320},
pages = {3--14},
type = {Conference Paper},
month = {July},
year = {2018},
isbn = {978-3-319-93930-8},
doi = {https://doi.org/10.1007/978-3-319-93931-5},
issn = {1865-1356},
keywords = {Data driven optimization; Production environment; Top-down; Bottom-up},
language = {English},
cr-category = {H.0 Information Systems General},
ee = {https://link.springer.com/chapter/10.1007/978-3-319-93931-5_1},
contact = {rachaa.ghabri@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-22&engl=1}
}
@inproceedings {INPROC-2018-19,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{THOR - Ein Datenschutzkonzept f{\"u}r die Industrie 4.0: Datenschutzsysteme f{\"u}r die Smart Factory zur Realisierung der DSGVO}},
booktitle = {Informatik 2018: Zukunft der Arbeit - Zukunft der Informatik, Tagungsband der 48. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 26.09. - 27.09.2018, Berlin.},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Informatics (LNI)},
pages = {1--12},
type = {Workshop Paper},
month = {September},
year = {2018},
keywords = {Datenschutz; Internet der Dinge; Sensoren; Industrie 4.0; Datenstr{\"o}me; Smart Devices},
language = {German},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Der Aufschwung des Internets der Dinge (IoT) sorgt f{\"u}r eine voranschreitende
Digitalisierung. Sensoren in Alltagsgegenst{\"a}nden erfassen unterschiedliche
Aspekte des t{\"a}glichen Lebens. Durch eine Vernetzung dieser Ger{\"a}te, lassen
sich die Daten miteinander kombinieren und daraus neues Wissen generieren. In
der Industrie 4.0 werden beispielsweise die am Produktionsprozess beteiligten
cyber-physischen Systeme dazu genutzt, um mit den von ihnen erfassten Daten
Produktionsprozesse zu optimieren. Da auch der Mensch ein relevanter
Bestandteil des Produktionsprozesses ist, werden z.B. mittels Smart Watches
auch {\"u}ber diesen viele Daten erfasst. Nicht erst mit der Einf{\"u}hrung der neuen
Datenschutzgrundverordnung (DSGVO) sind hierbei allerdings
Datenschutzanforderungen zu beachten: Es m{\"u}ssen nicht nur die privaten Daten
der Nutzer gesch{\"u}tzt werden, sondern es muss auch sichergestellt werden, dass
die Datenverarbeitung und -analyse dadurch so wenig wie m{\"o}glich behindert
werden. Wir stellen hierf{\"u}r ein neuartiges Datenschutzkonzept f{\"u}r die
Industrie 4.0 (THOR) vor, mit dem Kompromisse zwischen erforderlichem
Datenschutz und gew{\"u}nschter Datenqualit{\"a}t gefunden werden k{\"o}nnen, der der
DSGVO gen{\"u}gt.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-19&engl=1}
}
@inproceedings {INPROC-2018-18,
author = {Ana Cristina Franco da Silva and Pascal Hirmer and Uwe Breitenb{\"u}cher and Oliver Kopp and Bernhard Mitschang},
title = {{TDLIoT: A Topic Description Language for the Internet of Things}},
booktitle = {ICWE 2018: Web Engineering},
editor = {Tommi Mikkonen and Ralf Klamma and Juan Hern{\'a}ndez},
publisher = {Springer Berlin Heidelberg},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science (LNCS)},
volume = {10845},
pages = {333--348},
type = {Conference Paper},
month = {May},
year = {2018},
doi = {10.1007/978-3-319-91662-0_27},
keywords = {Internet of Things; Publish-subscribe; Description Language},
language = {English},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.12 Software Engineering Interoperability},
ee = {https://link.springer.com/chapter/10.1007/978-3-319-91662-0_27},
contact = {franco-da-silva@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-18&engl=1}
}
@inproceedings {INPROC-2018-17,
author = {Marc H{\"u}ffmeyer and Pascal Hirmer and Bernhard Mitschang and Ulf Schreier and Matthias Wieland},
title = {{Situation-Aware Access Control for Industrie 4.0}},
booktitle = {ICISSP 2017: Information Systems Security and Privacy},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Communications in Computer and Information Science},
volume = {867},
pages = {59--83},
type = {Conference Paper},
month = {June},
year = {2018},
keywords = {Authorization; Attribute based access control; Situation-awareness; REST; Internet of Things},
language = {English},
cr-category = {E.0 Data General},
ee = {https://link.springer.com/chapter/10.1007/978-3-319-93354-2_4},
contact = {Pascal.Hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-17&engl=1}
}
@inproceedings {INPROC-2018-15,
author = {Christoph Stach and Sascha Alpers and Stefanie Betz and Frank D{\"u}rr and Andreas Fritsch and Kai Mindermann and Saravana Murthy Palanisamy and Gunther Schiefer and Manuela Wagner and Bernhard Mitschang and Andreas Oberweis and Stefan Wagner},
title = {{The AVARE PATRON: A Holistic Privacy Approach for the Internet of Things}},
booktitle = {Proceedings of the 15th International Conference on Security and Cryptography (SECRYPT '18)},
publisher = {INSTICC Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {July},
year = {2018},
keywords = {Privacy; IoT Apps; Smart Things; Stream Processing; Privacy Preferences Elicitation \& Veri\&\#64257; cation},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Software Technology, Software Engineering;
University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Applications for the Internet of Things are becoming increasingly popular. Due
to the large amount of available context data, such applications can be used
effectively in many domains. By interlinking these data and analyzing them, it
is possible to gather a lot of knowledge about a user. Therefore, these
applications pose a threat to privacy. In this paper, we illustrate this threat
by looking at a real-world application scenario. Current state of the art
focuses on privacy mechanisms either for Smart Things or for big data
processing systems. However, our studies show that for a comprehensive privacy
protection a holistic view on these applications is required. Therefore, we
describe how to combine two promising privacy approaches from both categories,
namely AVARE and PATRON. Evaluation results confirm the thereby achieved
synergy effects.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-15&engl=1}
}
@inproceedings {INPROC-2018-14,
author = {Corinna Giebler and Christoph Stach and Holger Schwarz and Bernhard Mitschang},
title = {{BRAID - A Hybrid Processing Architecture for Big Data}},
booktitle = {Proceedings of the 7th International Conference on Data Science, Technology and Applications (DATA 2018)},
publisher = {INSTICC Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {July},
year = {2018},
keywords = {Big Data; IoT; Batch Processing; Stream Processing; Lambda Architecture; Kappa Architecture},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.2.4 Database Management Systems,
H.2.8 Database Applications},
contact = {Senden Sie eine e-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things is applied in many domains and collects vast amounts of
data. This data provides access to a lot of knowledge when analyzed
comprehensively. However, advanced analysis techniques such as predictive or
prescriptive analytics require access to both, history data, i.e., long-term
persisted data, and real-time data as well as a joint view on both types of
data. State-of-the-art hybrid processing architectures for big data - namely,
the Lambda and the Kappa Architecture - support the processing of history data
and real-time data. However, they lack of a tight coupling of the two
processing modes. That is, the user has to do a lot of work manually in order
to enable a comprehensive analysis of the data. For instance, the user has to
combine the results of both processing modes or apply knowledge from one
processing mode to the other. Therefore, we introduce a novel hybrid processing
architecture for big data, called BRAID. BRAID intertwines the processing of
history data and real-time data by adding communication channels between the
batch engine and the stream engine. This enables to carry out comprehensive
analyses automatically at a reasonable overhead.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-14&engl=1}
}
@inproceedings {INPROC-2018-10,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{R2SMA - A Middleware Architecture to Access Legacy Enterprise Web Services using Lightweight REST APIs}},
booktitle = {Proceedings of the 20th International Conference on Enterprise Information Systems},
editor = {Slimane Hammoudi and Michal Smialek and Olivier Camp and Joaquim Filipe},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {704--711},
type = {Conference Paper},
month = {March},
year = {2018},
isbn = {978-989-758-298-1},
keywords = {REST; API; SOAP; Web Service; SOA; Enterprise SOA; Architecture},
language = {English},
cr-category = {H.5.4 Hypertext/Hypermedia,
H.3.5 Online Information Services},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-10&engl=1}
}
@inproceedings {INPROC-2018-05,
author = {Christoph Stach and Bernhard Mitschang},
title = {{CURATOR - A Secure Shared Object Store: Design, Implementation, and Evaluation of a Manageable, Secure, and Performant Data Exchange Mechanism for Smart Devices}},
booktitle = {Proceedings of the 33rd ACM/SIGAPP Symposium On Applied Computing (DTTA)},
publisher = {ACM Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {April},
year = {2018},
keywords = {data exchange; smart devices; shared object store; security},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, smart devices have become incredible popular - literally everybody
has one. Due to an enormous quantity of versatile apps, these devices
positively affect almost every aspect of their users' lives. E.g., there are
apps collecting and monitoring health data from a certain domain such as
diabetes-related or respiration-related data. However, they cannot display
their whole potential since they have only access to their own data and cannot
combine it with data from other apps, e.g., in order to create a comprehensive
electronic health record. On that account, we introduce a seCURe shAred objecT
stORe called CURATOR. In CURATOR apps cannot only manage their own data in an
easy and performant way, but they can also share it with other apps. Since some
of the data is confidential, CURATOR has several security features, including
authentication, fine-grained access control, and encryption. In this paper, we
discuss CURATOR's design and implementation and evaluate its performance.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-05&engl=1}
}
@inproceedings {INPROC-2018-03,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{The Privacy Management Platform: An Enabler for Device Interoperability and Information Security in mHealth Applications}},
booktitle = {Proceedings of the 11th International Conference on Health Informatics (HEALTHINF 2018)},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Conference Paper},
month = {January},
year = {2018},
keywords = {mHealth; Device Interoperability; Information Security; COPD; Privacy Management Platform},
language = {English},
cr-category = {H.5.0 Information Interfaces and Presentation General,
K.6.5 Security and Protection,
K.8 Personal Computing},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Chronic diseases are on the rise. Afflicted patients require persistent therapy
and periodic screenings. This causes high treatment costs and overburdened
physicians. Innovative approaches that enable patients to perform treatment
methods on their own are badly needed. Telemedical approaches with the aid of
modern Smartphones connected to medical devices (the so-called mHealth) can be
the answer. However, mHealth apps face two key challenges, namely device
interoperability and information security. In this paper, we describe how the
Privacy Management Platform (PMP) and its extendable Resources can contribute
to these challenges. Therefore, we analyze a real-world mHealth app and derive
generic functional units, each realizing a certain task recurring frequently
within mHealth apps, e.g., metering, data storage, or data transmission. For
each functional unit we provide a PMP Resource, enabling both, device
interoperability and information security. Finally, we revise the analyzed
mHealth app using the Resources in order to evaluate our approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-03&engl=1}
}
@inproceedings {INPROC-2018-01,
author = {Christoph Stach and Bernhard Mitschang},
title = {{ACCESSORS: A Data-Centric Permission Model for the Internet of Things}},
booktitle = {Proceedings of the 4th International Conference on Information Systems Security and Privacy (ICISSP 2018).},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--11},
type = {Conference Paper},
month = {January},
year = {2018},
keywords = {Permission Model; Data-Centric; Derivation Transparent; Fine-Grained; Context-Sensitive; IoT},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things (IoT) is gaining more and more relevance. Due to
innovative IoT devices equipped with novel sensors, new application domains
come up continuously. These domains include Smart Homes, Smart Health, and
Smart Cars among others. As the devices not only collect a lot of data about
the user, but also share this information with each other, privacy is a key
issue for IoT applications. However, traditional privacy systems cannot be
applied to the IoT directly due to different requirements towards the
underlying permission models. Therefore, we analyze existing permission models
regarding their applicability in the IoT domain. Based on this analysis, we
come up with a novel permission model, implement it in a privacy system, and
assess its utility.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2018-01&engl=1}
}
@inproceedings {INPROC-2017-70,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{Business Objects plus (BO+): An Approach to Enhance Service Reuse and Integration in Cross-Domain SOA Compounds}},
booktitle = {Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration},
editor = {Chengcui Zhang and Balaji Palanisamy and Latifur Khan and Sahra Sedigh Sarvestani},
address = {Los Alamitos, Washington, Tokyo},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {49--58},
type = {Conference Paper},
month = {August},
year = {2017},
doi = {10.1109/IRI.2017.28},
isbn = {978-1-5386-1562-1},
keywords = {SOA, data model, abstraction, service interface, business objects},
language = {German},
cr-category = {E.2 Data Storage Representations,
H.3.5 Online Information Services},
ee = {http://ieeexplore.ieee.org/document/8102918/},
contact = {Jan K{\"o}nigsberger jan.koenigsberger@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-70&engl=1}
}
@inproceedings {INPROC-2017-49,
author = {Eva Hoos and Matthias Wieland and Bernhard Mitschang},
title = {{Analysis Method for Conceptual Context Modeling Applied in Production Environments}},
booktitle = {Proceedings of 20th International Conference on Business Information Systems (BIS)},
publisher = {Springer International Publishing},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {313--325},
type = {Conference Paper},
month = {May},
year = {2017},
keywords = {Context-awareness; production environments; Industry 4.0},
language = {English},
cr-category = {J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-49&engl=1}
}
@inproceedings {INPROC-2017-48,
author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
title = {{Context-Aware Decision Information Packages: An Approach to Human-Centric Smart Factories}},
booktitle = {Proceedings of the 21st European Conference on Advances in Databases and Information Systems (ADBIS)},
publisher = {Springer International Publishing AG 2017},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {42--56},
type = {Conference Paper},
month = {August},
year = {2017},
keywords = {Industry 4.0; Context-awareness; Data Provisioning; Smart Factory},
language = {German},
cr-category = {H.3.3 Information Search and Retrieval},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-48&engl=1}
}
@inproceedings {INPROC-2017-41,
author = {Matthias Wieland and Frank Steimle and Bernhard Mitschang and Dominik Lucke and Peter Einberger and Daniel Schel and Michael Luckert and Thomas Bauernhansl},
title = {{Rule-Based Integration of Smart Services Using the Manufacturing Service Bus}},
booktitle = {Proceedings of 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2017)},
address = {Fremont, USA},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {August},
year = {2017},
doi = {10.1109/UIC-ATC.2017.8397529},
keywords = {Rules; Integration; Manufacturing; Smart Factory; Industrie 4.0; Manufacturing Service Bus},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
I.2.1 Applications and Expert Systems},
ee = {https://ieeexplore.ieee.org/document/8397529/},
contact = {Senden Sie eine E-Mail an Frank.Steimle@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Factories have to adapt permanently to changing situations in order to stay
competitive. Premise to achieve this objective is up-to-date information on all
levels of a factory and during the product life cycle, so that men and machine
can optimize their activities according to their tasks. One approach to
implement this economically is the massive application of sensors and
information and communication technologies (ICT) leading to a Smart Factory.
This process and related applications are summarized under the term of the
forth industrial revolution (Industrie 4.0). It demands a flexible and
easy-to-use integration of assets on the shop floor with ICT systems. The
contribution of this paper is the MIALinx system that enables all these steps.
The steps range from the integration to the sensing and analyzing of the sensor
data to the execution of required actions. Furthermore, MIALinx provides an
abstract rule based approach for users to model the behavior of the system. The
presented system is based on concepts and technologies of the Internet of
Things and service-oriented middleware. The main users targeted with our system
are small and medium-sized enterprises that do not have the expertise or the
investment possibilities to invest in completely new Industrie 4.0 systems but
rather use their existing production assets and enrich them to achieve
Industrie 4.0 capability.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-41&engl=1}
}
@inproceedings {INPROC-2017-40,
author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
title = {{Improving Problem Resolving on the Shop Floor by Context-Aware Decision Information Packages}},
booktitle = {Proceedings of the CAiSE 2017 Forum},
editor = {Xavier Franch and Jolita Ralyt{\'e}},
address = {Essen},
publisher = {CEUR Workshop Proceedings},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {121--128},
type = {Workshop Paper},
month = {June},
year = {2017},
keywords = {Industry 4.0; Context-Awareness; Engineering},
language = {English},
cr-category = {J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-40&engl=1}
}
@inproceedings {INPROC-2017-38,
author = {Christian Weber and Jan K{\"o}nigsberger and Laura Kassner and Bernhard Mitschang},
title = {{M2DDM – A Maturity Model for Data-Driven Manufacturing}},
booktitle = {Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems (CIRP CMS); Taichung, Taiwan, May 3-5, 2017},
editor = {Mitchell M. Tseng and Hung-Yin Tsai and Yue Wang},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Procedia CIRP},
volume = {63},
pages = {173--178},
type = {Conference Paper},
month = {July},
year = {2017},
doi = {https://doi.org/10.1016/j.procir.2017.03.309},
issn = {2212-8271},
keywords = {Maturity Model; Industrie 4.0; Industrial Internet; Reference Architectures; Digital Twin; Edge Analytics},
language = {English},
cr-category = {H.1.0 Information Systems Models and Principles General,
H.4.0 Information Systems Applications General},
ee = {http://www.sciencedirect.com/science/article/pii/S2212827117304973},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-38&engl=1}
}
@inproceedings {INPROC-2017-32,
author = {Christoph Stach and Frank D{\"u}rr and Kai Mindermann and Saravana Murthy Palanisamy and Muhammad Adnan Tariq and Bernhard Mitschang and Stefan Wagner},
title = {{PATRON - Datenschutz in Datenstromverarbeitungssystemen}},
booktitle = {Informatik 2017: Digitale Kulturen, Tagungsband der 47. Jahrestagung der Gesellschaft f{\"u}r Informatik e.V. (GI), 25.09. - 29.09.2017, Technische Universit{\"a}t Chemnitz},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {LNI},
pages = {1--12},
type = {Workshop Paper},
month = {September},
year = {2017},
keywords = {Datenschutz; Zugriffskontrolle; Datenstr{\"o}me; Internet der Dinge; Privatheit; Sensoren},
language = {German},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Software Technology, Software Engineering;
University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems},
abstract = {Angetrieben durch die stetig voranschreitende Digitalisierung gewinnt das
Internet der Dinge (engl. IoT) immer mehr an Bedeutung. Im IoT werden
technische Ger{\"a}te mit unterschiedlichen Sensoren ausgestattet und miteinander
vernetzt. Dadurch werden neuartige Anwendungen beispielsweise im Bereich
E-Health erm{\"o}glicht, in denen Sensordaten miteinander kombiniert und so in
h{\"o}herwertige Informationen umgewandelt werden. Die von diesen Anwendungen
abgeleiteten Informationen verraten viel {\"u}ber den Nutzer und m{\"u}ssen daher
besonders gesch{\"u}tzt werden. H{\"a}ufig hat der Nutzer allerdings keine Kontrolle
{\"u}ber die Verarbeitung seiner Daten, ganz davon zu schweigen, dass er das Ausma{\ss}
und die Art der daraus ableitbaren Informationen nicht ermessen kann.
In diesem Artikel stellen wir daher einen neuartigen Kontrollmechanismus vor,
der private Informationen im IoT sch{\"u}tzt. Anstelle von abstrakten
Datenschutzregeln f{\"u}r einzelne Sensoren definiert der Nutzer Muster, die es zu
sch{\"u}tzen gilt. Ein Muster kann beispielsweise eine Kombination aus Messwerten
sein, die auf eine bestimmte Krankheit schlie{\ss}en lassen. Der Nutzer definiert
die zu verheimlichenden Informationen nat{\"u}rlichsprachlich, und ein
Dom{\"a}nenexperte setzt diese in formale Regeln um. Sind diese Regeln zu
restriktiv, so kann die Anwendung ihre angedachte Funktionalit{\"a}t nicht
erbringen. Daher muss bez{\"u}glich der Servicequalit{\"a}t ein Kompromiss zwischen
gew{\"u}nschter Privatheit und ben{\"o}tigter Funktionalit{\"a}t gefunden werden.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-32&engl=1}
}
@inproceedings {INPROC-2017-28,
author = {Ana Cristina Franco da Silva and Uwe Breitenb{\"u}cher and Pascal Hirmer and K{\'a}lm{\'a}n K{\'e}pes and Oliver Kopp and Frank Leymann and Bernhard Mitschang and Ronald Steinke},
title = {{Internet of Things Out of the Box: Using TOSCA for Automating the Deployment of IoT Environments}},
booktitle = {Proceedings of the 7th International Conference on Cloud Computing and Services Science (CLOSER)},
editor = {Donald Ferguson and V{\'\i}ctor M{\'e}ndez Mu{\~n}oz and Jorge Cardoso and Markus Helfert and Claus Pahl},
publisher = {SciTePress Digital Library},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {ScitePress},
volume = {1},
pages = {358--367},
type = {Conference Paper},
month = {June},
year = {2017},
isbn = {978-989-758-243-1},
doi = {10.5220/0006243303580367},
keywords = {Internet of Things; TOSCA; Application Deployment; Device Software},
language = {English},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.12 Software Engineering Interoperability},
ee = {http://scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=AuNrRtS4cNc=&t=1},
contact = {franco-da-silva@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-28&engl=1}
}
@inproceedings {INPROC-2017-13,
author = {Marc H{\"u}ffmeyer and Pascal Hirmer and Bernhard Mitschang and Ulf Schreier and Matthias Wieland},
title = {{SitAC – A System for Situation-aware Access Control - Controlling Access to Sensor Data}},
booktitle = {Proceedings of the 3rd International Conference on Information Systems Security and Privacy},
editor = {Paolo Mori and Steven Furnell and Olivier Camp},
address = {Porto, Portugal},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {ScitePress},
volume = {1},
pages = {113--125},
type = {Conference Paper},
month = {March},
year = {2017},
isbn = {978-989-758-209-7},
keywords = {Authorization; Attribute based Access Control; Situation-awareness; REST; Internet of Things},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {http://www.scitepress.org/DigitalLibrary/PublicationsDetail.aspx?ID=PZW1ep7OUUk%3d&t=1},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-13&engl=1}
}
@inproceedings {INPROC-2017-05,
author = {Laura Kassner and Pascal Hirmer and Matthias Wieland and Frank Steimle and Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{The Social Factory: Connecting People, Machines and Data in Manufacturing for Context-Aware Exception Escalation}},
booktitle = {Proceedings of the 50th Hawaii International Conference on System Sciences},
publisher = {Online},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--10},
type = {Conference Paper},
month = {January},
year = {2017},
isbn = {978-0-9981331-0-2},
keywords = {decision support; internet of things; smart manufacturing; social media; text analytics},
language = {English},
cr-category = {E.0 Data General,
H.2 Database Management,
H.3 Information Storage and Retrieval,
H.4 Information Systems Applications},
ee = {http://hdl.handle.net/10125/41355},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Manufacturing environments are socio-technical systems $\backslash$ where people have to
interact with machines to achieve $\backslash$ a common goal. The goal of the fourth
industrial revolution is $\backslash$ to improve their flexibility for mass customization
and rapidly $\backslash$ changing production conditions. As a contribution towards $\backslash$ this
goal, we introduce the Social Factory: a social network $\backslash$ with a powerful
analytics backend to improve the connection $\backslash$ between the persons working in
the production environment, $\backslash$ the manufacturing machines, and the data that is
created $\backslash$ in the process. We represent machines, people and chatbots $\backslash$ for
information provisioning as abstract users in the social $\backslash$ network. We enable
natural language based communication between $\backslash$ them and provide a rich
knowledge base and automated $\backslash$ problem solution suggestions. Access to complex
production $\backslash$ environments thus becomes intuitive, cooperation among users $\backslash$
improves and problems are resolved more easily.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-05&engl=1}
}
@inproceedings {INPROC-2017-04,
author = {Matthias Wieland and Pascal Hirmer and Frank Steimle and Christoph Gr{\"o}ger and Bernhard Mitschang and Eike Rehder and Dominik Lucke and Omar Abdul Rahman and Thomas Bauernhansl},
title = {{Towards a Rule-Based Manufacturing Integration Assistant}},
booktitle = {Proceedings of the 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016); Stuttgart, Germany, May 25-27, 2016},
editor = {Engelbert Westk{\"a}mper and Thomas Bauernhansl},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Procedia CIRP},
volume = {57},
pages = {213--218},
type = {Conference Paper},
month = {January},
year = {2017},
doi = {10.1016/j.procir.2016.11.037},
keywords = {Rules; Integration; Manufacturing; Smart-Factory; Industrie 4.0},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering,
I.2.1 Applications and Expert Systems,
I.2.4 Knowledge Representation Formalisms and Methods},
ee = {http://www.sciencedirect.com/science/article/pii/S221282711631191X},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Recent developments and steadily declining prices in ICT enable an economic
application of advanced digital tools in wide areas of manufacturing. Solutions
based on concepts and technologies of the Internet of Things or Cyber Physical
Systems can be used to implement monitoring as well as self-organization of
production, maintenance or logistics processes. However, integration of new
digital tools in existing heterogeneous manufacturing IT systems and
integration of machines and devices into manufacturing environments is an
expensive and tedious task. Therefore, integration issues on IT and
manufacturing level significantly prevent agile manufacturing. Especially small
and medium-sized enterprises do not have the expertise or the investment
possibilities to realize such an integration. To tackle this issue, we present
the approach of the Manufacturing Integration Assistant - MIALinx. The
objective is to develop and implement a lightweight and easy-to-use integration
solution for small and medium-sized enterprises based on recent web automation
technologies. MIALinx aims to simplify the integration using simple
programmable, flexible and reusable IF-THEN rules that connect occurring
situations in manufacturing, such as a machine break down, with corresponding
actions, e.g., an automatic maintenance order generation. For this purpose,
MIALinx connects sensors and actuators based on defined rules whereas the rule
set is defined in a domain-specific, easy-to-use manner to enable rule modeling
by domain experts. Through the definition of rule sets, the workers{\^a}€™
knowledge can be also externalized. Using manufacturing-approved cloud
computing technologies, we enable robustness, security, and a low-effort,
low-cost integration of MIALinx into existing manufacturing environments to
provide advanced digital tools also for small and medium-sized enterprises.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-04&engl=1}
}
@inproceedings {INPROC-2016-35,
author = {Jan K{\"o}nigsberger and Bernhard Mitschang},
title = {{A Semantically-enabled SOA Governance Repository}},
booktitle = {Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration},
editor = {IEEE Computer Society},
address = {Los Alamitos, California, Washington, Tokyo},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {423--432},
type = {Conference Paper},
month = {August},
year = {2016},
isbn = {978-1-5090-3207-5},
keywords = {SOA; Governance; Repository; Semantic Web},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.5 Online Information Services,
I.2.4 Knowledge Representation Formalisms and Methods},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Companies in today's world need to cope with an ever greater need for flexible
and agile IT systems to keep up with the competition and rapidly changing
markets. This leads to increasingly complex system landscapes that are often
realized using service-oriented architectures (SOA). Companies often struggle
to handle the complexity and the governance activities necessary after this
paradigm shift.
We therefore present a semantically-enabled SOA Governance Repository as the
central tool to manage and govern all SOA-related activities within a company.
This repository is based on our previously defined key governance aspects as
well as our SOA Governance Meta Model (SOA-GovMM). We describe how our
repository is able to support and improve the speed and flexibility of
company's IT processes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-35&engl=1}
}
@inproceedings {INPROC-2016-25,
author = {Pascal Hirmer and Matthias Wieland and Uwe Breitenb{\"u}cher and Bernhard Mitschang},
title = {{Dynamic Ontology-based Sensor Binding}},
booktitle = {Advances in Databases and Information Systems. 20th East European Conference, ADBIS 2016, Prague, Czech Republic, August 28-31, 2016, Proceedings},
address = {Prague, Czech Republic},
publisher = {Springer International Publishing},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Information Systems and Applications, incl. Internet/Web, and HCI},
volume = {9809},
pages = {323--337},
type = {Conference Paper},
month = {August},
year = {2016},
isbn = {978-3-319-44039-2},
isbn = {978-3-319-44038-5},
doi = {10.1007/978-3-319-44039-2},
keywords = {Internet of Things; Sensors; Ontologies; Data Provisioning},
language = {English},
cr-category = {E.0 Data General,
B.8 Performance and Reliability},
ee = {http://www.springer.com/de/book/9783319440385},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {In recent years, the Internet of Things gains more and more attention through
cheap hardware devices and, consequently, an increased interconnection of them.
These devices equipped with sensors and actuators form the foundation for so
called smart environments that enable monitoring as well as self-organization.
However, an efficient sensor registration, binding, and sensor data
provisioning is still a major issue for the Internet of Things. Usually, these
steps can take up to days or even weeks due to a manual configuration and
binding by sensor experts that furthermore have to communicate with
domain-experts that define the requirements, e.g. the types of sensors, for the
smart environments. In previous work, we introduced a first vision of a method
for automated sensor registration, binding, and sensor data provisioning. In
this paper, we further detail and extend this vision, e.g., by introducing
optimization steps to enhance efficiency as well as effectiveness. Furthermore,
the approach is evaluated through a prototypical implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-25&engl=1}
}
@inproceedings {INPROC-2016-22,
author = {Pascal Hirmer and Matthias Wieland and Uwe Breitenb{\"u}cher and Bernhard Mitschang},
title = {{Automated Sensor Registration, Binding and Sensor Data Provisioning}},
booktitle = {Proceedings of the CAiSE'16 Forum, at the 28th International Conference on Advanced Information Systems Engineering (CAiSE 2016)},
address = {Ljubljana, Slovenia},
publisher = {CEUR-WS.org},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {CEUR Workshop Proceedings},
volume = {1612},
pages = {81--88},
type = {Conference Paper},
month = {June},
year = {2016},
issn = {1613-0073},
keywords = {Internet of Things; Sensors; Ontologies; Data Provisioning},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {http://ceur-ws.org/Vol-1612/paper11.pdf},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, the Internet of Things has evolved due to an increasing interconnection
of technical devices. However, the automated binding and management of things
and sensors is still a major issue. In this paper, we present a method and
system architecture for sensor registration, binding, and sensor data
provisioning. This approach enables automated sensor integration and data
processing by accessing the sensors and provisioning the data. Furthermore, the
registration of new sensors is done in an automated way to avoid a complex,
tedious manual registration. We enable (i) semantic description of sensors and
things as well as their attributes using ontologies, (ii) the registration of
sensors of a physical thing, (iii) a provisioning of sensor data using
different data access paradigms, and (iv) dynamic sensor binding based on
application requirements. We provide the Resource Management Platform as a
prototypical implementation of the architecture and corresponding runtime
measurements},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-22&engl=1}
}
@inproceedings {INPROC-2016-09,
author = {Christoph Stach and Bernhard Mitschang},
title = {{The Secure Data Container: An Approach to Harmonize Data Sharing with Information Security}},
booktitle = {Proceedings of the 17th International Conference on Mobile Data Management},
address = {Porto},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {292--297},
type = {Conference Paper},
month = {June},
year = {2016},
keywords = {smart devices; information security; data sharing},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Smart devices became Marc Weiser's Computer of the 21st Century. Due to their
versatility a lot of private data enriched by context data are stored on them.
Even the health industry utilizes smart devices as portable health monitors and
enablers for telediagnosis. So they represent a severe risk for information
security. Yet the platform providers' countermeasures to these threats are by
no means sufficient. In this paper we describe how information security can be
improved. Therefore, we postulate requirements towards a secure handling of
data. Based on this requirements specification, we introduce a secure data
container as an extension for the Privacy Management Platform. Since a complete
isolation of an app is usually not practicable, our approach also provides
secure data sharing features. Finally, we evaluate our approach from a
technical point of view as well as a security point of view and show its
applicability in an eHealth scenario.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-09&engl=1}
}
@inproceedings {INPROC-2016-07,
author = {Christoph Gr{\"o}ger and Laura Kassner and Eva Hoos and Jan K{\"o}nigsberger and Cornelia Kiefer and Stefan Silcher and Bernhard Mitschang},
title = {{The Data-Driven Factory. Leveraging Big Industrial Data for Agile, Learning and Human-Centric Manufacturing}},
booktitle = {Proceedings of the 18th International Conference on Enterprise Information Systems},
editor = {Slimane Hammoudi and Leszek Maciaszek and Michele M. Missikoff and Olivier Camp and Jose Cordeiro},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {40--52},
type = {Conference Paper},
month = {April},
year = {2016},
isbn = {978-989-758-187-8},
keywords = {IT Architecture, Data Analytics, Big Data, Smart Manufacturing, Industrie 4.0},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering},
contact = {Email an Christoph.Groeger@ipvs.uni-stuttgart.de oder laura.kassner@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Global competition in the manufacturing industry is characterized by ever
shorter product life cycles, increas-ing complexity and a turbulent
environment. High product quality, continuously improved processes as well as
changeable organizational structures constitute central success factors for
manufacturing companies. With the rise of the internet of things and Industrie
4.0, the increasing use of cyber-physical systems as well as the digitalization
of manufacturing operations lead to massive amounts of heterogeneous industrial
data across the product life cycle. In order to leverage these big industrial
data for competitive advantages, we present the concept of the data-driven
factory. The data-driven factory enables agile, learning and human-centric
manu-facturing and makes use of a novel IT architecture, the Stuttgart IT
Architecture for Manufacturing (SITAM), overcoming the insufficiencies of the
traditional information pyramid of manufacturing. We introduce the SITAM
architecture and discuss its conceptual components with respect to
service-oriented integration, ad-vanced analytics and mobile information
provisioning in manufacturing. Moreover, for evaluation purposes, we present a
prototypical implementation of the SITAM architecture as well as a real-world
application sce-nario from the automotive industry to demonstrate the benefits
of the data-driven factory.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-07&engl=1}
}
@inproceedings {INPROC-2016-06,
author = {Laura Kassner and Bernhard Mitschang},
title = {{Exploring Text Classification for Messy Data: An Industry Use Case for Domain-Specific Analytics}},
booktitle = {Advances in Database Technology - EDBT 2016, 19th International Conference on Extending Database Technology, Bordeaux, France, March 15-16, Proceedings},
publisher = {OpenProceedings.org},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {491--502},
type = {Conference Paper},
month = {March},
year = {2016},
isbn = {978-3-89318-070-7},
keywords = {recommendation system; automotive; text analytics; domain-specific language; automatic classification},
language = {English},
cr-category = {H.3.1 Content Analysis and Indexing,
H.3.3 Information Search and Retrieval,
H.4.2 Information Systems Applications Types of Systems,
J.1 Administration Data Processing},
ee = {http://openproceedings.org/2016/conf/edbt/paper-52.pdf},
contact = {Email an laura.kassner@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Industrial enterprise data present classification problems which are different
from those problems typically discussed in the scientific community -- with
larger amounts of classes and with domain-specific, often unstructured data. We
address one such problem through an analytics environment which makes use of
domain-specific knowledge. Companies are beginning to use analytics on large
amounts of text data which they have access to, but in day-to-day business,
manual effort is still the dominant method for processing unstructured data. In
the face of ever larger amounts of data, faster innovation cycles and higher
product customization, human experts need to be supported in their work through
data analytics. In cooperation with a large automotive manufacturer, we have
developed a use case in the area of quality management for supporting human
labor through text analytics: When processing damaged car parts for quality
improvement and warranty handling, quality experts have to read text reports
and assign error codes to damaged parts. We design and implement a system to
recommend likely error codes based on the automatic recognition of error
mentions in textual quality reports. In our prototypical implementation, we
test several methods for filtering out accurate recommendations for error codes
and develop further directions for applying this method to a competitive
business intelligence use case.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2016-06&engl=1}
}
@inproceedings {INPROC-2015-62,
author = {Eva Maria Grochowski and Eva Hoos and Stefan Waitzinger and Dieter Spath and Bernhard Mitschang},
title = {{Web-based collaboration system for interdisciplinary and interorganizational development teams: case study}},
booktitle = {Proceeding of the 23rd International Conference on Production Research},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--11},
type = {Conference Paper},
month = {August},
year = {2015},
keywords = {Collaboration; Web-based Platform},
language = {English},
cr-category = {J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The automotive industry faces three major challenges – shortage of fossil
fuels, politics of global warming and rising competition. In order to remain
competitive companies have to develop more efficient and alternative fuel
vehicles. Out of these challenges new cooperation models become inevitable. The
development of complex products like automobiles claims skills of various
disciplines e.g. engineering, IT. Furthermore, these skills are spread all over
various companies within the supply chain and beyond. Hence, supporting IT
systems for collaborative, innovative work is absolutely essential.
Interdisciplinary and interorganizational development has new demands on
information systems. These demands are not well analyzed at the moment and
therefore, existing collaboration platforms cannot address them. In order to
determine these new requirements and show the gap to existing collaboration
platform we performed a case study. In this case study, we analyze the research
campus “Active Research Environment for the Next Generation of Automobiles”
(ARENA2036). It is a is a new cooperation form, where diverse partners from the
industry, research institutes and universities elaborate collaboratively future
topics in the field of production and light weight construction under “one
single roof”. We focus on the special needs of the interdisciplinary,
interorganizational partners. The requirements were polled by a questionnaire.
About 80 percent of the active research workers in ARENA2036 answered the
questionnaire. By the answers we can identify the special needs and also role
profiles of the collaborators. The resulting role profiles specify the personal
requirements. These are used for an evaluation of existing information
platforms. The deficits between the offered features and the demands of the
partners, as well as new technologies supporting the individual needs of users
are the foundation for the information system concept for ARENA2036. In our
findings we present a role-based view on requirements for the development of an
information system for collaboration and cooperation. Based on these
requirements we then develop a concept for mobile apps with focus on a
role-based design.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-62&engl=1}
}
@inproceedings {INPROC-2015-34,
author = {Pascal Hirmer and Matthias Wieland and Holger Schwarz and Bernhard Mitschang and Uwe Breitenb{\"u}cher and Frank Leymann},
title = {{SitRS - A Situation Recognition Service based on Modeling and Executing Situation Templates}},
booktitle = {Proceedings of the 9th Symposium and Summer School On Service-Oriented Computing},
editor = {Johanna Barzen and Rania Khalaf and Frank Leymann and Bernhard Mitschang},
publisher = {IBM Research Report},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Technical Paper},
volume = {RC25564},
pages = {113--127},
type = {Conference Paper},
month = {December},
year = {2015},
keywords = {Situation Recognition, IoT, Context, Integration, Cloud Computing, OSLC},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {http://domino.research.ibm.com/library/cyberdig.nsf/papers/656B934403848E8A85257F1D00695A63},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, the Internet of Things has evolved due to an advanced connectivity of
physical objects. Furthermore, Cloud Computing gains more and more interest for
the provisioning of services. In this paper, we want to further improve the
integration of these two areas by providing a cloud-based situation recognition
service – SitRS. This service can be used to integrate real world objects – the
things – into the internet by deriving their situational state based on
sensors. This enables context-aware applications to detect events in a smart
environment. SitRS is a basic service enabling a generic and easy
implementation of Smart* applications such as SmartFactorys, SmartCities,
SmartHomes. This paper introduces an approach containing a method and a system
architecture for the realization of such a service. The core steps of the
method are: (i) registration of the sensors, (ii) modeling of the situation,
and (iii) execution of the situation recognition. Furthermore, a prototypical
implementation of SitRS is presented and evaluated via runtime measurements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-34&engl=1}
}
@inproceedings {INPROC-2015-33,
author = {Pascal Hirmer and Peter Reimann and Matthias Wieland and Bernhard Mitschang},
title = {{Extended Techniques for Flexible Modeling and Execution of Data Mashups}},
booktitle = {Proceedings of the 4th International Conference on Data Management Technologies and Applications (DATA)},
editor = {Markus Helfert and Andreas Holzinger and Orlando Belo and Chiara Francalanci},
address = {Colmar},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {111--122},
type = {Conference Paper},
month = {July},
year = {2015},
isbn = {978-989-758-103-8},
keywords = {Data Mashups, Ad-hoc Integration, Patterns, Data Flow},
language = {English},
cr-category = {E.1 Data Structures,
E.5 Data Files},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, a multitude of highly-connected applications and information systems
hold, consume and produce huge amounts of heterogeneous data. The overall
amount of data is even expected to dramatically increase in the future. In
order to conduct, e.g., data analysis, visualizations or other value-adding
scenarios, it is necessary to integrate specific, relevant parts of data into a
common source. Due to oftentimes changing environments and dynamic requests,
this integration has to support ad-hoc and flexible data processing
capabilities. Furthermore, an iterative and explorative trial-and-error
integration based on different data sources has to be possible. To cope with
these requirements, several data mashup platforms have been developed in the
past. However, existing solutions are mostly non-extensible, monolithic systems
or applications with many limitations regarding the mentioned requirements. In
this paper, we introduce an approach that copes with these issues (i) by the
introduction of patterns to enable decoupling from implementation details, (ii)
by a cloud-ready approach to enable availability and scalability, and (iii) by
a high degree of flexibility and extensibility that enables the integration of
heterogeneous data as well as dynamic (un-)tethering of data sources. We
evaluate our approach using runtime measurements of our prototypical
implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-33&engl=1}
}
@inproceedings {INPROC-2015-25,
author = {Frank Steimle and Matthias Wieland and Bernhard Mitschang and Sebastian Wagner and Frank Leymann},
title = {{Design and Implementation Issues of a Secure Cloud-Based Health Data Management System}},
booktitle = {Proceedings of the 9th Symposium and Summer School On Service-Oriented Computing},
editor = {Johanna Barzen and Rania Khalaf and Frank Leymann and Bernhard Mitschang},
publisher = {IBM Research Report},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Technical Paper},
volume = {RC25564},
pages = {68--82},
type = {Conference Paper},
month = {December},
year = {2015},
keywords = {eHealth; mHealth; cloud data; data analysis; security},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://domino.research.ibm.com/library/cyberdig.nsf/papers/656B934403848E8A85257F1D00695A63},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {eHealth gains more and more interest since a lot of end-user devices which
support health data capturing are available. The captured data has to be
managed and securely stored, in order to access it from different devices and
to share it with other users such as physicians. The aim of the German-Greek
research project ECHO is to support the treatment of patients, who suffer from
Chronic Obstructive Pulmonary Disease (COPD), a chronic respiratory disease.
Usually the patients need to be examined by their physicians on a regular basis
due to their chronic condition. Since this is very time consuming and
expensive, we develop an eHealth system which allows the physician to monitor
patients conditions remotely, e.g., via smart phones. Therefore, a secure data
processing and sharing eHealth platform is required. In this paper we introduce
a health data model and a corresponding platform-architecture for the
management and analysis of the data provided by the patients. Furthermore, we
show how the security of the data is ensured and we explain how the platform
can be hosted in a cloud-based environment using the OASIS standard TOSCA,
which enables a self-contained and portable description and management of
cloud-services.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-25&engl=1}
}
@inproceedings {INPROC-2015-15,
author = {Laura Kassner and Bernhard Mitschang},
title = {{MaXCept – Decision Support in Exception Handling through Unstructured Data Integration in the Production Context. An Integral Part of the Smart Factory.}},
booktitle = {Proceedings of the 48th Hawaii International Conference on System Sciences: HICSS 48, 2015},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1007--1016},
type = {Conference Paper},
month = {January},
year = {2015},
keywords = {smart manufacturing; industrial internet; unstructured data; data integration; exception escalation; expert search},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
J.1 Administration Data Processing,
J.7 Computers in Other Systems},
contact = {laura.kassner@gsame.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, data from different sources and different phases of the product life
cycle are usually analyzed in isolation and with considerable time delay.
Real-time integrated analytics is especially beneficial in a production
context. We present an architecture fordata- and analytics-driven exception
escalation in manufacturing and show the advantages of integrating unstructured
data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2015-15&engl=1}
}
@inproceedings {INPROC-2014-76,
author = {Peter Reimann and Holger Schwarz and Bernhard Mitschang},
title = {{A Pattern Approach to Conquer the Data Complexity in Simulation Workflow Design}},
booktitle = {Proceedings of OnTheMove Federated Conferences and Workshops (OTM), 22nd International Conference on Cooperative Information Systems (CoopIS 2014)},
editor = {R. Meersman et al.},
address = {Amantea, Italy},
publisher = {Springer Berlin Heidelberg},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {LNCS},
volume = {8841},
pages = {21--38},
type = {Conference Paper},
month = {October},
year = {2014},
keywords = {Data Provisioning; Data Management Patterns; SIMPL; Simulation Workflow; Simulation Workflow Design; Workflow; Workflow Design},
language = {English},
cr-category = {H.2.5 Heterogeneous Databases,
H.2.8 Database Applications,
H.4.1 Office Automation},
contact = {Peter Reimann Peter.Reimann@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Scientific workflows may be used to enable the collaborative implementation of
scientific applications across various domains. Since each domain has its own
requirements and solutions for data handling, such workflows often have to deal
with a highly heterogeneous data environment. This results in an increased
complexity of workflow design. As scientists typically design their scientific
workflows on their own, this complexity hinders them to concentrate on their
core issue, namely the experiments, analyses, or simulations they conduct. In
this paper, we present a novel approach to a pattern-based abstraction support
for the complex data management in simulation workflows that goes beyond
related work in similar research areas. A pattern hierarchy with different
abstraction levels enables a separation of concerns according to the skills of
different persons involved in workflow design. The goal is that scientists are
no longer obliged to specify low-level details of data management in their
workflows. We discuss the advantages of this approach and show to what extent
it reduces the complexity of simulation workflow design. Furthermore, we
illustrate how to map patterns onto executable workflows. Based on a
prototypical implementation of three real-world simulations, we evaluate our
approach according to relevant requirements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-76&engl=1}
}
@inproceedings {INPROC-2014-75,
author = {Jan K{\"o}nigsberger and Stefan Silcher and Bernhard Mitschang},
title = {{SOA-GovMM: A Meta Model for a Comprehensive SOA Governance Repository}},
booktitle = {Proceedings of the 2014 IEEE 15th International Conference on Information Reuse and Integration},
editor = {James Joshi and Elisa Bertino and Bhavani Thuraisingham and Ling Liu},
address = {Piscataway, NJ, USA},
publisher = {IEEE Systems, Man, and Cybernetics Society (SMC)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {187--194},
type = {Conference Paper},
month = {August},
year = {2014},
isbn = {978-1-4799-5880-1},
keywords = {Service-Oriented Architecture, SOA Governance, Meta Model, Governance Repository},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-75/INPROC-2014-75.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In recent years, the paradigm of service-oriented architecture (SOA) has more
and more found its way into many organizations. The SOA principles of loosely
coupled and reusable services has convinced decision makers in many
organizations to start SOA initiatives. Yet, the lack of proper governance
mechanisms has doomed many projects to fail. Although some SOA governance
frameworks exist, they differ highly in scope and none of them covers the whole
spectrum necessary to properly govern a SOA. In this paper we identify and
discuss eleven core areas the governance of a SOA has to cover in order to
realize the intended benefit in flexibility and agility. We then analyze and
evaluate existing SOA governance frameworks with regard to those requirements.
Subsequently, we present a meta model composed of four parts: Service Provider,
Service Consumer, Organizational Structure and Business Object. We show, that
those four parts cover all requirements for a comprehensive SOA governance
repository. This allows an organization to leverage the information integrated
in the repository to better govern their SOA and therefore improve the chances
of its success.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-75&engl=1}
}
@inproceedings {INPROC-2014-64,
author = {Eva Hoos and Christoph Gr{\"o}ger and Bernhard Mitschang},
title = {{Mobile Apps in Engineering: A Process-Driven Analysis of Business Potentials and Technical Challenges}},
booktitle = {Proceedings of the 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), 23-25 July, 2014, Capri (Naples), Italy},
publisher = {CIRP},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {July},
year = {2014},
language = {German},
cr-category = {H.4.0 Information Systems Applications General,
J.4 Social and Behavioral Sciences,
J.2 Physical Sciences and Engineering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Mobile apps on smartphones and tablet PCs are more and more employed in
enterprises to optimize business processes, e.g. by elimination of paper-based
data collection. With respect to engineering, mobile apps provide a huge
potential for increased flexibility and efficiency due to their anywhere and
anytime characteristics, e.g., for product testing in the field. However, not
every usage of mobile apps is beneficial from a business point of view and
existing apps for engineering represent only rudimentary front-ends for
stationary IT systems without an app-oriented redesign. Hence, there are three
core challenges to leverage the potential of mobile apps in engineering: (1)
identifying value-added app usage scenarios from a process point of view, (2)
realizing a task-oriented and context-aware user interface design and (3)
mastering technical obstacles at the app implementation. In this paper, we
address these challenges by a case-oriented analysis of selected engineering
processes in the automotive industry in order to identify engineering tasks
suited for the usage of mobile apps. On this basis, we design corresponding
engineering apps and analyze their business potentials. Moreover, we derive
common technological challenges for the development of engineering apps, e.g.
data synchronization aspects, and highlight further research issues.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-64&engl=1}
}
@inproceedings {INPROC-2014-61,
author = {Marina Bitsaki and Christos Koutras and Georgios Koutras and Frank Leymann and Bernhard Mitschang and Christos Nikolaou and Nikos Siafakas and Steve Strauch and Nikos Tzanakis and Matthias Wieland},
title = {{An Integrated mHealth Solution for Enhancing Patients' Health Online}},
booktitle = {Proceedings of the 6th European Conference of the International Federation for Medical and Biological Engineering (MBEC'14)},
publisher = {International Federation for Medical and Biological Engineering (IFMBE)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--4},
type = {Conference Paper},
month = {September},
year = {2014},
keywords = {Patient monitoring; COPD; ICT application services; Cloud technology; Online services; Mobile applications; Intelligent data mining},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
H.4.1 Office Automation,
J.3 Life and Medical Sciences},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2014-61/INPROC-2014-61.pdf},
contact = {a href=``http://www.iaas.uni-stuttgart.de/institut/mitarbeiter/strauch''Steve Strauch/ a},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {Lack of time or economic difficulties prevent chronic obstructive pulmonary
disease patients from communicating with their physicians, thus inducing
exacerbation of their chronic condition and possible hospitalization. In this
paper we propose a platform that integrates mobile application technologies and
cloud computing to provide regular monitoring of patients and avoidance of
medical emergencies.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-61&engl=1}
}
@inproceedings {INPROC-2014-59,
author = {Laura Kassner and Christoph Gr{\"o}ger and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{Product Life Cycle Analytics - Next Generation Data Analytics on Structured and Unstructured Data}},
booktitle = {Proceedings of the 9th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '14},
address = {Naples},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--6},
type = {Conference Paper},
month = {July},
year = {2014},
keywords = {analytics, big data, unstructured data, text analytics, product life cycle management, PLM, data warehousing, product life cycle analytics, data integration},
language = {English},
cr-category = {H.3.1 Content Analysis and Indexing,
H.3.4 Information Storage and Retrieval Systems and Software,
J.2 Physical Sciences and Engineering,
J.6 Computer-Aided Engineering},
contact = {Per Mail an laura.kassner@gsame.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Enormous amounts of unstructured data, e. g., emails, failure reports and
customer complaints, are abundant around the product life cycle and provide a
huge potential for analytics-driven optimization. However, existing analytics
approaches on unstructured data are fraught with three major insufficiencies
limiting comprehensive business improvement: (1) they focus on isolated data
sources from a single life cycle phase {\^a}€“ for example, data from a customer
relationship management system are mined for frequent complaints without
considering manufacturing failure reports related to the same product; (2) they
do not make use of structured data for holistic analytics, e. g., to
automatically correlate unstructured failure reports with structured
performance data of a manufacturing execution system; (3) existing
implementations of data integration and analytics components are typically
cost-intensive, manual and case-based, without a general framework.
To address these issues, we present our Product Life Cycle Analytics (PLCA)
approach, a platform and a reference architecture for the holistic integration
and analysis of unstructured and structured data from multiple data sources
around the product life cycle. For this purpose, we survey structured and
unstructured data sources around the product life cycle and discuss limitations
of existing analytics approaches like traditional Business Intelligence
applications. Moreover, we develop use cases for holistic life-cycle-oriented
analytics and give examples based on case study investigations, e. g., for the
holistic analysis of unstructured failure reports in the automotive industry.
On this basis, we discuss technical requirements and components of our
reference architecture, such as a versatile, plug-and-play Natural Language
Processing pipeline and mechanisms for linking structured and unstructured data
in a holistic data warehouse. Finally, we analyse implementation issues and
investigate underlying technologies from the areas of text analytics and data
mining in order to evaluate our architecture with respect to the identified use
cases.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-59&engl=1}
}
@inproceedings {INPROC-2014-58,
author = {Christoph Stach and Bernhard Mitschang},
title = {{Design and Implementation of the Privacy Management Platform}},
booktitle = {Proceedings of the 15th International Conference on Mobile Data Management},
address = {Brisbane},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--4},
type = {Conference Paper},
month = {July},
year = {2014},
keywords = {Android; policy model; implementation strategies},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, mobile platform vendors have to concern themselves increasingly about
how to protect their users' privacy. As Google is less restrictive than their
competitors regarding their terms of use for app developers, it is hardly
surprising that malware spreads even in Google Play. To make matters worse, in
Android every user is responsible for his or her private data and s/he is
frequently overwhelmed with this burden because of the fragile Android
permission mechanism. Thus, the calls for a customizable, fine-grained,
context-based, crash-proof, and intuitive privacy management system are growing
louder. To cope with these requests, we introduce the Privacy Management
Platform (PMP) and we discuss three alternative implementation strategies for
such a system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-58&engl=1}
}
@inproceedings {INPROC-2014-50,
author = {Peter Reimann and Holger Schwarz and Bernhard Mitschang},
title = {{Data Patterns to Alleviate the Design of Scientific Workflows Exemplified by a Bone Simulation}},
booktitle = {Proceedings of the 26th International Conference on Scientific and Statistical Database Management},
address = {Aalborg, Denmark},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {June},
year = {2014},
keywords = {Data Provisioning; Data Management Patterns; Workflow; SIMPL; Simulation Workflow; BPEL; WS-BPEL},
language = {English},
cr-category = {H.2.5 Heterogeneous Databases,
H.2.8 Database Applications,
H.4.1 Office Automation},
contact = {Peter Reimann Peter.Reimann@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Scientific workflows often have to process huge data sets in a multiplicity of
data formats. For that purpose, they typically embed complex data provisioning
tasks that transform these heterogeneous data into formats the underlying tools
or services can handle. This results in an increased complexity of workflow
design. As scientists typically design their scientific workflows on their own,
this complexity hinders them to concentrate on their core issue, namely the
experiments, analyses, or simulations they conduct. In this paper, we present
the core idea of a pattern-based approach to alleviate the design of scientific
workflows. This approach is particularly targeted at the needs of scientists.
We exemplify and assess the pattern-based design approach by applying it to a
complex scientific workflow realizing a real-world simulation of structure
changes in bones.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-50&engl=1}
}
@inproceedings {INPROC-2014-49,
author = {Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{The Deep Data Warehouse. Link-based Integration and Enrichment of Warehouse Data and Unstructured Content}},
booktitle = {Proceedings of the 18th IEEE International Enterprise Distributed Object Computing Conference (EDOC), 01-05 September, 2014, Ulm, Germany},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {September},
year = {2014},
language = {English},
cr-category = {H.2.7 Database Administration},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data warehouses are at the core of enterprise IT and enable the efficient
storage and analysis of structured data. Besides, unstructured content, e.g.,
emails and documents, constitutes more than half of the entire enterprise data
and contains a lot of implicit knowledge about warehouse entities. Thus,
holistic ana-lytics require the integration of structured warehouse data and
unstructured content to generate novel insights. These insights can also be
used to enrich the integrated data and to create a new basis for further
analytics. Existing integration approaches only support a limited range of
analytical applications and require the costly adaptation of the warehouse
schema. In this paper, we present the Deep Data Warehouse (DeepDWH), a novel
type of data warehouse based on the flexible integration and enrichment of
warehouse data and unstructured content, addressing the variety challenge of
Big Data. It relies on information-rich in-stance-level links between warehouse
elements and content items, which are represented in a graph-oriented
structure. Neither adaptations of the existing warehouse nor the design of an
overall federated schema are required. We design a conceptual linking model and
develop a logical schema for links based on a property graph. As a proof of
concept, we present a prototypical imple-mentation of the DeepDWH including a
link store based on a graph database.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-49&engl=1}
}
@inproceedings {INPROC-2014-28,
author = {Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{Prescriptive Analytics for Recommendation-based Business Process Optimization}},
booktitle = {Proceedings of the 17th International Conference on Business Information Systems (BIS), 22-23 May, 2014, Larnaca, Cyprus},
editor = {Witold Abramowicz and Angelika Kokkinaki},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {176},
pages = {25--37},
type = {Conference Paper},
month = {May},
year = {2014},
keywords = {Prescriptive Analytics, Process Optimization, Process Warehouse, Data Mining, Business Intelligence, Decision Support},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Continuously improved business processes are a central success factor for
companies. Yet, existing data analytics do not fully exploit the data generated
during process execution. Particularly, they miss prescriptive techniques to
transform analysis results into improvement actions. In this paper, we present
the data-mining-driven concept of recommendation-based business process
op-timization on top of a holistic process warehouse. It prescriptively
generates ac-tion recommendations during process execution to avoid a predicted
metric de-viation. We discuss data mining techniques and data structures for
real-time prediction and recommendation generation and present a proof of
concept based on a prototypical implementation in manufacturing.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-28&engl=1}
}
@inproceedings {INPROC-2014-14,
author = {Eva Hoos and Christoph Gr{\"o}ger and Stefan Kramer and Bernhard Mitschang},
title = {{Improving Business Processes through Mobile Apps - An Analysis Framework to Identify Value-added App Usage Scenarios}},
booktitle = {Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS), 27-30 April, 2014, Lisbon, Portugal},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {April},
year = {2014},
keywords = {Business Processes; Analysis Framework; Mobile Application},
language = {English},
cr-category = {H.1.1 Systems and Information Theory,
K.6.1 Project and People Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Mobile apps offer new possibilities to improve business processes. However, the
introduction of mobile apps is typically carried out from a technology point of
view. Hence, process improvement from a business point of view is not
guaranteed. There is a methodological lack for a holistic analysis of business
processes regarding mobile technology. For this purpose, we present an analysis
framework, which comprises a systematic methodology to identify value-added
usage scenarios of mobile technology in business processes with a special focus
on mobile apps. The framework is based on multi-criteria analysis and portfolio
analy- sis techniques and it is evaluated in a case-oriented investigation in
the automotive industry.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-14&engl=1}
}
@inproceedings {INPROC-2014-10,
author = {Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{The Manufacturing Knowledge Repository. Consolidating Knowledge to Enable Holistic Process Knowledge Management in Manufacturing}},
booktitle = {Proceedings of the 16th International Conference on Enterprise Information Systems (ICEIS), 27-30 April, 2014, Lisbon, Portugal},
publisher = {SciTePress},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {April},
year = {2014},
language = {English},
cr-category = {H.2.7 Database Administration,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The manufacturing industry is faced with strong competition making the
companies’ knowledge resources and their systematic management a critical
success factor. Yet, existing concepts for the management of process knowledge
in manufacturing are characterized by major shortcomings. Particularly, they
are either exclusively based on structured knowledge, e. g., formal rules, or
on unstructured knowledge, such as documents, and they focus on isolated
aspects of manufacturing processes. To address these issues, we present the
Manufacturing Knowledge Repository, a holistic repository that consolidates
structured and unstructured process knowledge to facilitate knowledge
management and process optimization in manufacturing. First, we define
requirements, especially the types of knowledge to be handled, e. g., data
mining models and text documents. Next, we develop a conceptual repository data
model associating knowledge items and process components such as machines and
process steps. Furthermore, we discuss implementation issues including storage
architecture variants and present both an evaluation of the data model and a
proof of concept based on a prototypical implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2014-10&engl=1}
}
@inproceedings {INPROC-2013-43,
author = {Tim Waizenegger and Matthias Wieland and Tobias Binz and Uwe Breitenb{\"u}cher and Florian Haupt and Oliver Kopp and Frank Leymann and Bernhard Mitschang and Alexander Nowak and Sebastian Wagner},
title = {{Policy4TOSCA: A Policy-Aware Cloud Service Provisioning Approach to Enable Secure Cloud Computing}},
booktitle = {On the Move to Meaningful Internet Systems: OTM 2013 Conferences},
editor = {Robert Meersman and Herve Panetto and Tharam Dillon and Johann Eder and Zohra Bellahsene and Norbert Ritter and Pieter De Leenheer and Dou Deijing},
address = {Heidelberg},
publisher = {Springer Berlin Heidelberg},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science (LNCS)},
volume = {8185},
pages = {360--376},
type = {Conference Paper},
month = {September},
year = {2013},
isbn = {978-3-642-41029-1},
doi = {10.1007/978-3-642-41030-7_26},
keywords = {Cloud Computing, TOSCA, Cloud Service, Cloud Management, Policy-Framework, Security, Green-IT, Sustainable Cloud Service},
language = {English},
cr-category = {D.2.7 Software Engineering Distribution, Maintenance, and Enhancement,
D.2.9 Software Engineering Management,
D.2.13 Software Engineering Reusable Software},
contact = {tim.waizenegger@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {With the growing adoption of Cloud Computing, automated deployment and
provisioning systems for Cloud applications are becoming more prevalent. They
help to reduce the onboarding costs for new customers as well as the financial
impact of managing Cloud Services by automating these previously manual tasks.
With the widespread use of such systems, the adoption of a common standard for
describing Cloud applications will provide a crucial advantage by enabling
reusable and portable applications. TOSCA, a newly published standard by OASIS
with broad industry participation provides this opportunity. Besides the
technical requirements of running and managing applications in the cloud,
non-functional requirements, like cost, security, and environmental issues, are
of special importance when moving towards the automated provisioning and
management of Cloud applications. In this paper we demonstrate how
non-functional requirements are defined in TOSCA using policies. We propose a
mechanism for automatic processing of these formal policy definitions in a
TOSCA runtime environment that we have developed based on the proposed
architecture of the TOSCA primer. In order to evaluate our approach, we present
prototypical implementations of security policies for encrypting databases and
for limiting the geographical location of the Cloud servers. We demonstrate how
our runtime environment is ensuring these policies and show how they affect the
deployment of the application.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-43&engl=1}
}
@inproceedings {INPROC-2013-38,
author = {Stefan Silcher and Jan K{\"o}nigsberger and Peter Reimann and Bernhard Mitschang},
title = {{Cooperative service registries for the service-based Product Lifecycle Management architecture}},
booktitle = {Proceedings of the 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD '13)},
publisher = {IEEE Xplore},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {439--446},
type = {Conference Paper},
month = {June},
year = {2013},
isbn = {978-1-4673-6083-8},
doi = {10.1109/CSCWD.2013.6581003},
keywords = {Collaborative Product Lifecycle Management; Cooperative Service Registries; Enterprise Service Bus; Service-oriented Architecture},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software,
H.3.4 Information Storage and Retrieval Systems and Software,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Product Lifecycle Management (PLM) comprises many different tasks across
multiple domains, such as product development and production. Thus,
multidisciplinary engineering teams have to collaborate to successfully design
and produce products. Nowadays, engineers are supported with many software
solutions, which are tailored to the work of each engineer. The problem is the
missing or bad integration between these IT solutions, which leads to
noncontinuous processes and an insufficient cooperation. The Service-oriented
Architecture (SOA) supports the needed flexible integration of applications
based on services and moreover an automation and integration of processes via
workflows. In previous work, we proposed a service-oriented PLM architecture
that provides these benefits and supports continuous processes. Thereby,
services of different domains and phases of the product life cycle need to
collaborate in a distributed fashion. In this paper, we systematically
identify, define and rate representative models for the management of
corresponding distributed service registries, which enable an efficient
collaboration of services. Based on a prototypical implementation of the
best-rated model in a layout redesign scenario, we assess our approach for its
suitability in PLM. The selected service registry model provides transparent
access to all services of different domains and shows the ease of integrating
new applications into the product life cycle. It thereby enables an improved
cooperation of engineers across various domains to define cross-domain
processes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-38&engl=1}
}
@inproceedings {INPROC-2013-34,
author = {Stefan Silcher and Barbara Seeberg and Erich Zahn and Bernhard Mitschang},
title = {{A Holistic Management Model for Manufacturing Companies and Related IT Support}},
booktitle = {Procedia CIRP},
publisher = {CIRP},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {175--180},
type = {Conference Paper},
month = {July},
year = {2013},
issn = {2212-8271},
doi = {http://dx.doi.org/10.1016/j.procir.2013.05.030},
keywords = {Product Lifecycle Management, Supply Chain Management, Factory Lifecycle Management, Holistic Management Model, IT Integration, Service-oriented Architecture, Enterprise Service Bus},
language = {English},
cr-category = {C.1.3 Processor Architectures, Other Architecture Styles,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Abstract Life cycle and management concepts are a necessity to compete in
current turbulent markets. Small- and medium-sized enterprises (SME) struggle
when realizing such concepts and accordant $\backslash${IT$\backslash$} support. In this paper we
review different concepts and their similarities and differences are discussed.
We focus on Product Lifecycle Management (PLM), Supply Chain Management and
Factory Lifecycle Management to integrate them into a holistic management
model. Subsequently, we extend a service-based $\backslash${PLM$\backslash$} architecture to support
the holistic management model to continuously support processes. The usage of
standardized technologies allows companies, and especially SMEs, to implement
this architecture with low costs and effort.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-34&engl=1}
}
@inproceedings {INPROC-2013-32,
author = {Carlos L{\"u}bbe and Bernhard Mitschang},
title = {{Holistic Load-Balancing in a Distributed Spatial Cache}},
booktitle = {Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {267--270},
type = {Conference Paper},
month = {June},
year = {2013},
doi = {10.1109/MDM.2013.38},
keywords = {Caching; Geographic Information Systems; Peer-to-peer},
language = {English},
cr-category = {H.2 Database Management},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2013-32/INPROC-2013-32.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {A steadily growing number of people using location based services (LBS) inflict
massive query loads on the data tier of an LBS. As such queries usually possess
considerable overlap, multiple cache nodes collaborating in a distributed
spatial cache can provide scalable access to frequently used data. To preserve
high throughput throughout the complete execution process, it is necessary to
balance the accumulating load among the participating cache nodes. In this
work, we identify three key-indicators to improve resource utilization during
the load-balancing process: data skew, anticipated data access patterns and
dynamic load peaks. For this reason, we introduce a comprehensive mathematical
model to express the key-indicators as probability distribution functions. We
fuse the different key-indicators into a single holistic distribution model. In
the course of this, we devise a methodology from our holistic distribution
model towards a distributed spatial cache offering improved load-balancing},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-32&engl=1}
}
@inproceedings {INPROC-2013-15,
author = {Christoph Gr{\"o}ger and Mark Hillmann and Friedemann Hahn and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{The Operational Process Dashboard for Manufacturing}},
booktitle = {Proceedings of the 46th CIRP Conference on Manufacturing Systems (CMS2013), 29-31 May, 2013, Sesimbra, Portugal},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {May},
year = {2013},
language = {English},
cr-category = {J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Agility is a critical success factor for manufacturers in today’s volatile
global environment and requires employees monitoring their performance and
reacting quickly to turbulences. Thus, comprehensive information provisioning
on all hierarchy levels is necessary. Yet, existing IT systems, e. g.,
Manufacturing Execution Systems, scarcely address information needs of workers
on the shop floor level. This causes uncoordinated waiting times, inflexibility
and costly communication. To address these issues, we present the Operational
Process Dashboard for Manufacturing (OPDM), a mobile dashboard for shop floor
workers. We identify process-oriented information needs, develop technical
dashboard services and define IT requirements for an implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-15&engl=1}
}
@inproceedings {INPROC-2013-14,
author = {Christoph Gr{\"o}ger and Stefan Silcher and Engelbert Westk{\"a}mper and Bernhard Mitschang},
title = {{Leveraging Apps in Manufacturing. A Framework for App Technology in the Enterprise}},
booktitle = {Proceedings of the 46th CIRP Conference on Manufacturing Systems (CMS2013), 29-31 May, 2013, Sesimbra, Portugal},
publisher = {Elsevier},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {May},
year = {2013},
language = {English},
cr-category = {J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Apps on mobile devices like smartphones have become the core of the digital
life of consumers. Apps are used, e. g., for shopping or communicating in
social networks. Recently, apps are gaining more and more attention in
enterprises as enabler for agile process optimization. In this article, we
discuss the potentials and challenges of exploiting this technology with a
focus on the manufacturing industry. We come up with a framework for apps in
manufacturing companies and identify major areas that need further
investigations to fully leverage apps. Moreover, we present existing and novel
apps across the product life cycle.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-14&engl=1}
}
@inproceedings {INPROC-2013-11,
author = {Christoph Stach and Bernhard Mitschang},
title = {{Privacy Management for Mobile Platforms - A Review of Concepts and Approaches}},
booktitle = {Proceedings of the 14th International Conference on Mobile Data Management},
publisher = {IEEE Computer Society Conference Publishing Services},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--9},
type = {Conference Paper},
month = {June},
year = {2013},
keywords = {privacy; profound overview; permission model},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The still rising popularity of modern mobile phones results in an increased
demand for manifold applications for these devices. As Android OS supports the
development and usage of third-party software greatly, there are more and more
developers for this platform. However, many of those applications handle
private data grossly negligent which immediately leads to serious privacy
concerns. To make matters worse, the current Android permission rules are much
too coarse and incomprehensible from the average user's perspective. But even
if s/he understands the meaning of the permissions, s/he must either accept all
of them or waive the application.
Therefore we review concepts and approaches towards effective privacy
management for mobile platforms. All this is discussed based on the prevailing
key players in the mobile market, namely Apple, RIM, Microsoft and Google. As
this work has been initiated by Google we mainly concentrated on Android-based
concepts towards customizable privacy management approaches. As a result of our
review and taking into account current initiatives and trends in the market, we
come up with a novel approach, an implementation architecture and a prototype.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2013-11&engl=1}
}
@inproceedings {INPROC-2012-37,
author = {Carlos L{\"u}bbe and Anja Reuter and Bernhard Mitschang},
title = {{Elastic Load-Balancing in a Distributed Spatial Cache Overlay}},
booktitle = {Proc. of the 13th International Conference on Mobile Data Management (MDM)},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {0--10},
type = {Conference Paper},
month = {July},
year = {2012},
keywords = {load-balancing; caching; spatial data; peer-to-peer},
language = {German},
cr-category = {H.2.4 Database Management Systems},
contact = {carlos.luebbe@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Location-based services (LBS) have gained enormous popularity, which imposes
increasing query loads at the data tier of an LBS. Yet, the data access
patterns of LBS typically possess high temporal and spatial locality.
Therefore, a dedicated spatial cache which provides efficient access to the
data currently needed may considerably reduce this load. To ensure high
throughput, multiple cache nodes can collaborate in a distributed spatial cache
overlay, which balances load among the nodes. However, load-balancing is a
non-trivial task in this context, as load spreads unevenly in space and varies
notably over time. This requires constant readjustment to shifting hot spots.
We present an elastic load-balancing mechanism between cache nodes that is
based on the physical model of a particle-spring system. Using spring
contraction, nodes instantly form processing clusters in regions with high load
and thus can easily work off accumulating queries. Our evaluation shows that
our approach quickly adapts to rapidly changing hot spots and thereby ensures
high throughput throughout the entire execution.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-37&engl=1}
}
@inproceedings {INPROC-2012-36,
author = {Nazario Cipriani and Christoph Stach and Oliver D{\"o}rler and Bernhard Mitschang},
title = {{NexusDSS - A System for Security Compliant Processing of Data Streams}},
booktitle = {Proceedings of the First International Conference on Data Technologies and Applications (DATA 2012)},
publisher = {SciTePress Digital Library},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--11},
type = {Conference Paper},
month = {July},
year = {2012},
language = {English},
cr-category = {C.2.0 Computer-Communication Networks, General,
K.6.5 Security and Protection,
D.4.6 Operating Systems Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Technological advances in microelectronic and communication technology are
increasingly leading to a highly connected environment equipped with sensors
producing a continuous flow of context data. The steadily growing number of
sensory context data available enables new application scenarios and drives new
processing techniques. The growing pervasion of everyday life with social media
and the possibility of interconnecting them with moving objects{\^a}€™ traces,
leads to a growing importance of access control for this kind of data since it
concerns privacy issues. The challenge in twofold: First mechanisms to control
data access and data usage must be established and second efficient and
flexible processing of sensible data must be supported. In this paper we
present a flexible and extensible security framework which provides mechanisms
to enforce requirements for context data access and beyond that support safe
processing of sensible context data according to predefined processing rules.
In addition and in contrast to previous concepts, our security framework
especially supports fine-grained control to contextual data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-36&engl=1}
}
@inproceedings {INPROC-2012-31,
author = {Christoph Gr{\"o}ger and Johannes Schlaudraff and Florian Niedermann and Bernhard Mitschang},
title = {{Warehousing Manufacturing Data. A Holistic Process Warehouse for Advanced Manufacturing Analytics}},
booktitle = {Proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery - DaWaK 2012},
editor = {Alfredo Cuzzocrea and Umeshwar Dayal},
address = {Berlin, Heidelberg},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science},
volume = {7448},
pages = {142--155},
type = {Conference Paper},
month = {September},
year = {2012},
keywords = {Data Warehouse; Manufacturing; Process Optimization; Analytics; Business Intelligence; Data Integration},
language = {English},
cr-category = {H.2.7 Database Administration,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Strong competition in the manufacturing industry makes efficient and effective
manufacturing processes a critical success factor. However, existing
warehousing and analytics approaches in manufacturing are coined by substantial
shortcomings, significantly preventing comprehensive process improvement.
Especially, they miss a holistic data base integrating operational and process
data, e. g., from Manufacturing Execution and Enterprise Resource Planning
systems. To address this challenge, we introduce the Manufacturing Warehouse, a
concept for a holistic manufacturing-specific process warehouse as central part
of the overall Advanced Manufacturing Analytics Platform. We define a
manufacturing process meta model and deduce a universal warehouse model. In
addition, we develop a procedure for its instantiation and the integration of
concrete source data. Finally, we describe a first proof of concept based on a
prototypical implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-31&engl=1}
}
@inproceedings {INPROC-2012-28,
author = {Stefan Silcher and Max Dinkelmann and Jorge Minguez and Bernhard Mitschang},
title = {{A Service-based Integration for an improved Product Lifecycle Management}},
booktitle = {Proceedings of the 14th International Conference on Enterprise Information Systems},
editor = {Alfredo Cuzzocrea and Jos{\'e} Cordeiro Leszek Maciaszek},
address = {Wroc\&\#322;aw, Poland},
publisher = {INSTICC Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {38--47},
type = {Conference Paper},
month = {June},
year = {2012},
isbn = {978-989-8565-10-5},
keywords = {Product Lifecycle Management; Service-oriented Architecture; Modular IT Integration},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The continuously changing environment is nowadays a major challenge for
companies. The tough competition, growing customization of products and
environmental regulations forces companies to continuously adapt their business
processes. In order to manage the complexity and reduce the effort for
developing products and production, many IT systems are indispensable. Despite
Product Lifecycle Management Technology (PLM) the growing heterogeneous IT
landscapes lack of a continuous support for business processes and get quickly
unmanageable. In this paper PLM technology is extended by a service-based
integration approach. Therefore, a modular service-based architecture was
developed which will be presented in detail. The architecture describes how the
whole product life cycle can be integrated more efficiently. The
characteristics and findings of our approach are presented as well as a first
prototype covering the production planning.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-28&engl=1}
}
@inproceedings {INPROC-2012-15,
author = {Christoph Gr{\"o}ger and Florian Niedermann and Bernhard Mitschang},
title = {{Data Mining-driven Manufacturing Process Optimization}},
booktitle = {Proceedings of the World Congress on Engineering 2012 Vol III, WCE 2012, 4 – 6 July, 2012, London, U.K.},
editor = {S. I. Ao and L. Gelman and D. W. L. Hukins and A. Hunter and A. M. Korsunsky},
publisher = {Newswood},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1475--1481},
type = {Conference Paper},
month = {July},
year = {2012},
isbn = {978-988-19252-2-0},
keywords = {Analytics; Data Mining; Decision Support; Process Optimization},
language = {English},
cr-category = {H.2.8 Database Applications,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {High competitive pressure in the global manufacturing industry makes efficient,
effective and continuously improved manufacturing processes a critical success
factor. Yet, existing analytics in manufacturing, e. g., provided by
Manufacturing Execution Systems, are coined by major shortcomings considerably
limiting continuous process improvement. In particular, they do not make use of
data mining to identify hidden patterns in manufacturing-related data. In this
article, we present indication-based and pattern-based manufacturing process
optimization as novel data mining approaches provided by the Advanced
Manufacturing Analytics Platform. We demonstrate their usefulness through use
cases and depict suitable data mining techniques as well as implementation
details.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-15&engl=1}
}
@inproceedings {INPROC-2012-14,
author = {Christoph Gr{\"o}ger and Florian Niedermann and Holger Schwarz and Bernhard Mitschang},
title = {{Supporting Manufacturing Design by Analytics. Continuous Collaborative Process Improvement enabled by the Advanced Manufacturing Analytics Platform}},
booktitle = {Proceedings of the 2012 16th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD), May 23-25, 2012, Wuhan, China},
editor = {Liang Gao and Weiming Shen and Jean-Paul Barth{\`e}s and Junzhou Luo and Jianming Yong and Wenfeng Li and Weidong Li},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {793--799},
type = {Conference Paper},
month = {May},
year = {2012},
isbn = {978-1-4673-1210-3},
keywords = {Analytics; Data Mining; Process Management; Manufacturing; Process Optimization},
language = {English},
cr-category = {H.2.8 Database Applications,
J.1 Administration Data Processing},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The manufacturing industry is faced with global competition making efficient,
effective and continuously improved manufacturing processes a critical success
factor. Yet, media discontinuities, the use of isolated analysis methods on
local data sets as well as missing means for sharing analysis results cause a
collaborative gap in Manufacturing Process Management that prohibits continuous
process improvement. To address this chal-lenge, this paper proposes the
Advanced Manufacturing Analytics (AdMA) Platform that bridges the gap by
integrating operational and process manufacturing data, defining a reposito-ry
for analysis results and providing indication-based and pat-tern-based
optimization techniques. Both the conceptual architec-ture underlying the
platform as well as its current implementa-tion are presented in this paper.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2012-14&engl=1}
}
@inproceedings {INPROC-2011-87,
author = {Jorge Minguez and Florian Niedermann and Bernhard Mitschang},
title = {{A provenance-aware service repository for EAI process modeling tools}},
booktitle = {IEEE International Conference on Information Reuse and Integration 2011 (IRI '11)},
address = {Las Vegas},
publisher = {IEEE Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {42--47},
type = {Conference Paper},
month = {August},
year = {2011},
doi = {10.1109/IRI.2011.6009518},
keywords = {EAI process modeling tool; business process; business service; data interoperability; enterprise application integration; functional interoperability; manufacturing domain; process lifecycle management; provenance aware service repository; provenance data model; provenance subscription capabilities; service engineering methods; service knowledge base; service reusability; business data processing; knowledge based systems; manufacturing industries; open systems},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {One of the major challenges for Enterprise Application Integration (EAI)
process modeling tools is the continuous adaptation of the business processes
and services. Business and IT specialists are both confronted with a number of
problems involved in the adaptation of such processes, such as the lack of
support for process lifecycle management, data and functional interoperability
problems or the appropriate service knowledge base. Currently, most service
engineering methods adopt a lifecycle strategy for the design, implementation,
deployment and evaluation of services. However, enterprises exploiting service
reusability lack the knowledge on process dependencies across the entire
service lifecycle. This knowledge is required by process modeling tools in
order to keep EAI processes loosely-coupled. Using a provenance data model we
describe the different types of service dependencies in EAI processes with
regard to the service changes across its lifecycle. We present a
provenance-aware service repository with provenance subscription capabilities
and its adoption for different use cases in the manufacturing domain.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-87&engl=1}
}
@inproceedings {INPROC-2011-86,
author = {Nazario Cipriani and Oliver Schiller and Bernhard Mitschang},
title = {{M-TOP: Multi-target Operator Placement of Query Graphs for Data Streams}},
booktitle = {Proceedings of the 15th International Database Engineering and Applications Symposium (IDEAS 2011)},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {52--60},
type = {Conference Paper},
month = {September},
year = {2011},
language = {English},
cr-category = {G.1.6 Numerical Analysis Optimization,
C.2.3 Network Operations},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, many applications processes stream-based data, such as financial
market analysis, network intrusion detection, or visualization applications. To
process stream-based data in an applicationindependent manner, distributed
stream processing systems emerged. They typically translate a query to an
operator graph, place the operators to stream processing nodes, and execute
them to process the streamed data. The operator placement is crucial in such
systems, as it deeply influences query execution. Often, different stream-based
applications require dedicated placement of query graphs according to their
specific objectives, e.g. bandwidth not less than 500 MBit/s and costs not more
that 1 cost unit. This fact constraints operator placement. Existing approaches
do not take into account application-specific objectives, thus not reflecting
application-specific placement decisions. As objectives might conflict among
each other, operator placement is subject to delicate trade-offs, such as
bandwidth maximization is more important than cost reduction. Thus, the
challenge is to find a solution which considers the application-specific
objectives and their trade-offs.
We present M-TOP, an QoS-aware multi-target operator placement framework for
data stream systems. Particularly, we propose an operator placement strategy
considering application-specific targets consisting of objectives, their
respective trade-offs specifications, bottleneck conditions, and ranking
schemes to compute a suitable placement. We integrated M-TOP into NexusDS, our
distributed data stream processing middleware, and provide an experimental
evaluation to show the effectiveness of M-TOP.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-86&engl=1}
}
@inproceedings {INPROC-2011-85,
author = {Nazario Cipriani and Matthias Grossmann and Harald Sanftmann and Bernhard Mitschang},
title = {{Design Considerations of a Flexible Data Stream Processing Middleware}},
booktitle = {Proceedings of the 15th East-European Conference on Advances in Databases and Information Systems (ADBIS 2011)},
publisher = {CEUR-WS.org},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {222--231},
type = {Conference Paper},
month = {September},
year = {2011},
language = {German},
cr-category = {K.6.1 Project and People Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Techniques for efficient and distributed processing of huge, unbound data
streams have made some impact in the database community. Distributed data
stream processing systems have emerged providing a distributed environment to
process these potentially unbound streams of data by a set of processing nodes.
A wide range of realtime applications process stream-based data. Sensors and
data sources, such as position data of moving objects, continuously produce
data that is consumed by, e.g., location-aware applications. Depending on the
domain of interest, the processing of such data often depends on
domain-specific functionality. For instance, an application which visualizes
stream-based data has stringent timing constraints, or may even need a specific
hardware environment to smoothly process the data. Furthermore, users may add
additional constraints. E.g., for security reasons they may want to restrict
the set of nodes that participates in processing.
In this paper we review context-aware applications which, despite their
different application fields, share common data processing principles. We
analyse these applications and extract common requirements which data stream
processing systems must meet to support these applications. Finally, we show
how such applications are implemented using NexusDS, our extensible stream
processing middleware.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-85&engl=1}
}
@inproceedings {INPROC-2011-57,
author = {Andreas Brodt and Oliver Schiller and Bernhard Mitschang},
title = {{Efficient resource attribute retrieval in RDF triple stores}},
booktitle = {Proceeding of the 20th ACM conference on Information and knowledge management (CIKM)},
publisher = {Association for Computing Machinery (ACM)},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
type = {Conference Paper},
month = {October},
year = {2011},
keywords = {RDF; SPARQL},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.2.2 Database Management Physical Design},
contact = {andreas.brodt@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The W3C Resource Description Framework (RDF) is gaining popularity for its
ability to manage semi-structured data without a predefined database schema. So
far, most RDF query processors have concentrated on finding complex graph
patterns in RDF, which typically involves a high number of joins. This works
very well to query resources by the relations between them. Yet, obtaining a
record-like view on the attributes of resources, as natively supported by
RDBMS, imposes unnecessary performance burdens, as the individual attributes
must be joined to assemble the final result records.
We present an approach to retrieve the attributes of resources efficiently. We
first determine the resources in question and then retrieve all their
attributes efficiently at once, exploiting contiguous storage in RDF indexes.
In addition, we present an index structure which is specifically designed for
RDF attribute retrieval. In a performance evaluation we show that our approach
is clearly superior for larger numbers of retrieved attributes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-57&engl=1}
}
@inproceedings {INPROC-2011-40,
author = {Jorge Minguez and Stefan Silcher and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{Towards Intelligent Manufacturing: Equipping SOA-based Architectures with advanced SLM Services}},
booktitle = {Proceedings of the 44th CIRP International Conference on Manufacturing Systems},
publisher = {CIRP},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {June},
year = {2011},
keywords = {Service Oriented Architecture; Manufacturing; Service Lifecycle Management; SOA; SLM; Adaptability; Wandlungsf{\"a}higkeit},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The vision of knowledge-based and intelligent manufacturing systems is driving
the development of system architectures, which can seamlessly manage
information flows across multiple heterogeneous manufacturing systems and
provide the necessary services to support the execution of production
processes. Constantly changing business conditions and turbulent scenarios
force manufacturing companies to continuously adapt their business processes
and manufacturing systems. In such a context, a flexible infrastructure that
supports the full integration of processes and adapts its services is needed.
This paper presents an innovative semantic service framework that enables the
adoption of service lifecycle management (SLM) in an SOA-based integration
framework.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-40&engl=1}
}
@inproceedings {INPROC-2011-39,
author = {Stefan Silcher and Jorge Minguez and Bernhard Mitschang},
title = {{Adopting the Manufacturing Service Bus in a Service-based Product Lifecycle Management Architecture}},
booktitle = {Proceedings of the 44th International CIRP Conference on Manufacturing Systems: ICMS '11; Madison, Wisconsin, USA, May 31 - June 3, 2011},
publisher = {Online},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--6},
type = {Conference Paper},
month = {June},
year = {2011},
keywords = {Information; System Architecture; Product Lifecycle Management; Service Oriented Architecture; Enterprise Service Bus},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Service-oriented computing is nowadays a rising technology to implement
business processes in an efficient and flexible manner. This technology has a
great impact on manufacturing environments. The realization of Product
Lifecycle Management (PLM) with a Service Oriented Architecture (SOA) has many
benefits. Some advantages are a seamless and flexible integration of all
applications within PLM, including legacy systems, improved data provisioning
and a reduced complexity by using a common service-based integration
middleware, such as the Manufacturing Service Bus (MSB). In this paper the
integration of the MSB into the service-oriented PLM approach will be described
in detail.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-39&engl=1}
}
@inproceedings {INPROC-2011-37,
author = {Sylvia Radesch{\"u}tz and Marko Vrhovnik and Holger Schwarz and Bernhard Mitschang},
title = {{Exploiting the Symbiotic Aspects of Process and Operational Data for Optimizing Business Processes}},
booktitle = {Proc. of the 12th IEEE International Conference on Information Reuse and Integration (IRI 2011)},
address = {Las Vegas, USA},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--6},
type = {Conference Paper},
month = {August},
year = {2011},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {A profound analysis of all relevant business data in a company is necessary for
optimizing business processes effectively. Current analyses typically run
either on business process execution data or on operational business data.
Correlations among the separate data sets have to be found manually under big
effort. However, to achieve a more informative analysis and to fully optimize a
company’s business, an efficient consolidation of all major data sources is
indispensable. Recent matching algorithms are insufficient for this task since
they are restricted either to schema or to process matching. We present a new
matching framework to combine process data models and operational data models
(semi-)automatically for performing such a profound business analysis. We
describe this approach and its basic matching rules as well as an experimental
study that shows the achieved high recall and precision.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-37&engl=1}
}
@inproceedings {INPROC-2011-36,
author = {Oliver Schiller and Benjamin Schiller and Andreas Brodt and Bernhard Mitschang},
title = {{Native support of multi-tenancy in RDBMS for software as a service}},
booktitle = {EDBT},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {117--128},
type = {Conference Paper},
month = {January},
year = {2011},
language = {English},
cr-category = {H.2.1 Database Management Logical Design,
H.2 Database Management},
ee = {http://doi.acm.org/10.1145/1951365.1951382},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Software as a Service (SaaS) facilitates acquiring a huge number of small
tenants by providing low service fees. To achieve low service fees, it is
essential to reduce costs per tenant. For this, consolidating multiple tenants
onto a single relational schema instance turned out beneficial because of low
overheads per tenant and scalable man- ageability. This approach implements
data isolation between ten- ants, per-tenant schema extension and further
tenant-centric data management features in application logic. This is complex,
dis- ables some optimization opportunities in the RDBMS and repre- sents a
conceptual misstep with Separation of Concerns in mind. Therefore, we
contribute first features of a RDBMS to support tenant-aware data management
natively. We introduce tenants as first-class database objects and propose the
concept of a tenant con- text to isolate a tenant from other tenants. We
present a schema inheritance concept that allows sharing a core application
schema among tenants while enabling schema extensions per tenant. Fi- nally, we
evaluate a preliminary implementation of our approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-36&engl=1}
}
@inproceedings {INPROC-2011-26,
author = {Florian Niedermann and Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{Design-Time Process Optimization through Optimization Patterns and Process Model Matching}},
booktitle = {Proceedings of the 12th IEEE Conference on Commerce and Enterprise Computing (CEC)},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {48--55},
type = {Conference Paper},
month = {November},
year = {2011},
keywords = {Business Process Analytics; Business Process Design; Business Process Management; Business Process Optimization; Process Model Matching},
language = {English},
cr-category = {H.4.1 Office Automation},
ee = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5708392},
contact = {florian.niedermann@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The goal of process design is the construction of a process model that is a
priori optimal w.r.t. the goal(s) of the business owning the process. Process
design is therefore a major factor in determining the process performance and
ultimately the success of a business. Despite this importance, the designed
process is often less than optimal. This is due to two major challenges: First,
since the design is an a priori ability, no actual execution data is available
to provide the foundations for design decisions. Second, since modeling
decision support is typically basic at best, the quality of the design largely
depends on the ability of business analysts to make the ”right” design choices.
To address these challenges, we present in this paper our deep Business
Optimization Platform that enables (semi-) automated process optimization
during process design based on actual execution data. Our platform achieves
this task by matching new processes to existing processes stored in a
repository based on similarity metrics and by using a set of formalized
best-practice process optimization patterns.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-26&engl=1}
}
@inproceedings {INPROC-2011-24,
author = {Florian Niedermann and Bernhard Maier and Sylvia Radesch{\"u}tz and Holger Schwarz and Bernhard Mitschang},
title = {{Automated Process Decision Making based on Integrated Source Data}},
booktitle = {Proceedings of the 14th International Conference on Business Information Systems (BIS 2011)},
editor = {Witold Abramowicz},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Business Information Processing},
pages = {1--10},
type = {Conference Paper},
month = {June},
year = {2011},
keywords = {Data Mining, Decision Automation, Data Integration, Business Process Management, Data-driven Processes},
language = {English},
cr-category = {H.4.1 Office Automation,
H.2.8 Database Applications,
H.5.2 Information Interfaces and Presentation User Interfaces},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The success of most of today's businesses is tied to the efficiency and
effectiveness of their core processes. Yet, two major challenges often prevent
optimal processes: First, the analysis techniques applied during the
optimization are inadequate and fail to include all relevant data sources.
Second, the success depends on the abilities of the individual analysts to spot
the right designs amongst a plethora of choices. Our deep Business Optimization
Platform addresses these challenges through specialized data integration,
analysis and optimization facilities. In this paper, we focus on how it uses
formalized process optimization patterns for detecting and implementing process
improvements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-24&engl=1}
}
@inproceedings {INPROC-2011-23,
author = {Florian Niedermann and Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{Business Process Optimization using Formalized Optimization Patterns}},
booktitle = {Proceedings of the 14th International Conference on Business Information Systems (BIS 2011)},
editor = {Witold Abramowicz},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--10},
type = {Conference Paper},
month = {June},
year = {2011},
keywords = {Business Process Management; Business Process Optimization},
language = {English},
cr-category = {H.4.1 Office Automation},
contact = {florian.niedermann@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The success of most of today's businesses is tied to the efficiency and
effectiveness of their core processes. Yet, two major challenges often prevent
optimal processes: First, the analysis techniques applied during the
optimization are inadequate and fail to include all relevant data sources.
Second, the success depends on the abilities of the individual analysts to spot
the right designs amongst a plethora of choices. Our deep Business Optimization
Platform addresses these challenges through specialized data integration,
analysis and optimization facilities. In this paper, we focus on how it uses
formalized process optimization patterns for detecting and implementing process
improvements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-23&engl=1}
}
@inproceedings {INPROC-2011-20,
author = {Carlos L{\"u}bbe and Andreas Brodt and Nazario Cipriani and Matthias Gro{\ss}mann and Bernhard Mitschang},
title = {{DiSCO: A Distributed Semantic Cache Overlay for Location-based Services}},
booktitle = {Proceedings of the 2011 Twelfth International Conference on Mobile Data Management},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {1--10},
type = {Conference Paper},
month = {January},
year = {2011},
keywords = {peer-to-peer; semantic caching},
language = {German},
cr-category = {C.2.4 Distributed Systems,
H.2.4 Database Management Systems},
contact = {carlos.luebbe@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Location-based services (LBS) have gained tremendous popularity with millions
of simultaneous users daily. LBS handle very large data volumes and face
enormous query loads. Both the data and the queries possess high locality:
spatial data is distributed very unevenly around the globe, query load is
different throughout the day, and users often search for similar things in the
same places. This causes high load peaks at the data tier of LBS, which may
seriously degrade performance. To cope with these load peaks, we present DiSCO,
a distributed semantic cache overlay for LBS. DiSCO exploits the spatial,
temporal and semantic locality in the queries of LBS and distributes frequently
accessed data over many nodes. Based on the Content-Addressable Network (CAN)
peer-to-peer approach, DiSCO achieves high scalability by partitioning data
using spatial proximity. Our evaluation shows that DiSCO significantly reduces
queries to the underlying data tier.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-20&engl=1}
}
@inproceedings {INPROC-2011-16,
author = {Andreas Brodt and Oliver Schiller and Sailesh Sathish and Bernhard Mitschang},
title = {{A mobile data management architecture for interoperability of resource and context data}},
booktitle = {Proceedings of the 2011 Twelveth International Conference on Mobile Data Management},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {1--6},
type = {Conference Paper},
month = {June},
year = {2011},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software,
H.3.5 Online Information Services,
H.2.4 Database Management Systems},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2011-16/INPROC-2011-16.pdf},
contact = {brodt@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Mobile devices have become general-purpose computers that are equipped with
sensors, constantly access the internet, and almost always accompany the user.
Consequently, devices manage many different kinds of data about the user's life
and context. There is considerable overlap in this data, as different
applications handle similar data domains. Applications often keep this data in
separated data silos. Web applications, which manage large amounts of personal
data, hardly share this data with other applications at all. This lack of
interoperability creates redundancy and impacts usability of mobile devices. We
present a data management architecture for mobile devices to support
interoperability between applications, devices and web applications at the data
management level. We propose a central on-device repository for applications to
share resource and context data in an integrated, extensible data model which
uses semantic web technologies and supports location data. A web browser
interface shares data with web applications, as controlled by a general
security model.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2011-16&engl=1}
}
@inproceedings {INPROC-2010-89,
author = {Florian Niedermann and Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{Deep Business Optimization: A Platform for Automated Process Optimization}},
booktitle = {Business Process and Service Science - Proceedings of ISSS and BPSC: BPSC'10; Leipzig, Germany, September 27th - October 1st, 2010},
editor = {Witold Abramowicz and Rainer Alt and Klaus-Peter F{\"a}ndrich and Bogdan Franczyk and Leszek A Maciaszek},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Informatics},
volume = {P177},
pages = {168--180},
type = {Conference Paper},
month = {September},
year = {2010},
isbn = {978-3-88579-271-0},
language = {English},
cr-category = {H.4.1 Office Automation,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The efficient and effective design, execution and adaption of its core
processes is vital for the success of most businesses and a major source of
competitive advantage. Despite this critical importance, process optimization
today largely depends on manual analytics and the ability of business analysts
to spot the ``right'' designs and areas of improvement.
This is because current techniques typically fall short in three areas: They
fail to integrate relevant data sources, they do not provide optimal analytical
procedures and they leave it up to the analyst to identify the best process
design.
Hence, we propose in this paper a platform that enables (semi-)automated
process optimization during the process design, execution and analysis stage,
based on insights from specialized analytical procedures running on an
integrated warehouse containing both process and operational data. We further
detail the analysis stage, as it provides the foundation for all other
optimization stages.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-89&engl=1}
}
@inproceedings {INPROC-2010-79,
author = {Stefan Silcher and Jorge Minguez and Thorsten Scheibler and Bernhard Mitschang},
title = {{A Service-Based Approach for Next-Generation Product Lifecycle Management}},
booktitle = {Proceedings of the 11th IEEE International Conference on Information Reuse and Integration (IEEE IRI 2010) in Las Vegas, Nevada, USA.},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {219--224},
type = {Conference Paper},
month = {August},
year = {2010},
isbn = {978-1-4244-8098-2},
keywords = {Product Lifecycle Management; PLM; Service Oriented Architecture; SOA; Enterprise Service Bus; ESB},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, one of the main challenges for companies is the effective management
of IT-systems. In times where requirements and companies change steadily, the
ITinfrastructure has to adopt these changes as well: new systems have to be
integrated or existing adapted. Even worse, these systems work together to
support business processes of a company and, thus, the infrastructures becomes
complex and difficult to manage.
The same situation is true for Product Lifecycle Management (PLM) that
accompanies a product development by means of interconnected IT systems running
on complex IT infrastructures. This paper introduces a viable solution to the
integration of all phases of PLM. An Enterprise Service Bus (ESB) is employed
as the service-based integration and communication infrastructure. Three
exemplary scenarios are introduced to describe the benefits of using an ESB as
compared to alternative PLM infrastructures. Furthermore, we introduce a
service hierarchy to enable value-added services to enhance PLM functionality.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-79&engl=1}
}
@inproceedings {INPROC-2010-45,
author = {Jorge Minguez and Dominik Lucke and Mihaly Jakob and Carmen Constantinescu and Bernhard Mitschang},
title = {{Introducing SOA into Production Environments - The Manufacturing Service Bus}},
booktitle = {Proceedings of the 43rd. CIRP International Conference on Manufacturing Systems},
address = {Vienna, Graz, Austria},
publisher = {neuer wissenschaftler Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1117--1124},
type = {Conference Paper},
month = {May},
year = {2010},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
contact = {jorge.minguez@gsame.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Volatile markets and constantly changing business conditions force
manufacturing enterprises to continuously adapt their digital factory
information systems. In many industries there is still no backbone for the
integration of factory information systems. Current integration is based on
point-to-point interfaces, which is partially due to the cost of replacing
their established legacy systems. Furthermore the lack of flexibility prevents
business processes to improve their responsiveness and adapt workflows of
manufacturing to different turbulences. The principles of Service-Oriented
Architecture (SOA) and its associated technologies (e. g., Enterprise Service
Bus) and standards are key enabler and driver of the required flexibility. The
presented Manufacturing Service Bus is a SOA-based approach that extends the
Enterprise Service Bus capabilities in three areas: event management, factory
context semantics and change propagation workflows. The Manufacturing Service
Bus provides an event-driven platform for flexible integration of digital
factory applications.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-45&engl=1}
}
@inproceedings {INPROC-2010-37,
author = {Benjamin Leonhardi and Bernhard Mitschang and Rub{\'e}n Pulido and Christoph Sieb and Michael Wurst},
title = {{Augmenting OLAP exploration with dynamic advanced analytics.}},
booktitle = {Proceedings of the 13th International Conference on Extending Database Technology (EDBT 2010),Lausanne, Switzerland,March 22-26,2010},
address = {New York, NY, USA},
publisher = {ACM},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {687--692},
type = {Conference Paper},
month = {April},
year = {2010},
isbn = {978-1-60558-945-9},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Online Analytical Processing (OLAP) is a popular technique for explorative data
analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is
used to explore and analyze various subsets of a given, multi-dimensional data
set. These subsets are selected by constraining one or several of the
dimensions, for instance, showing sales only in a given year and geographical
location. Still, such aggregates are often not enough. Important information
can only be discovered by combining several dimensions in a multidimensional
analysis. Most existing approaches allow to add new dimensions either
statically or dynamically. These approaches support, however, only the creation
of global dimensions that are not interactive for the user running the report.
Furthermore, they are mostly restricted to data clustering and the resulting
dimensions cannot be interactively refined.
In this paper we propose a technique and an architectural solution that is
based on an interaction concept for creating OLAP dimensions on subsets of the
data dynamically, triggered interactively by the user, based on arbitrary
multi-dimensional grouping mechanisms. This approach allows combining the
advantages of both, OLAP exploration and interactive multidimensional analysis.
We demonstrate the industry-strength of our solution architecture using a setup
of IBM® InfoSphere™ Warehouse data mining and Cognos® BI as reporting engine.
Use cases and industrial experiences are presented showing how insight derived
from data mining can be transparently presented in the reporting front end, and
how data mining algorithms can be invoked from the front end, achieving
closed-loop integration.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-37&engl=1}
}
@inproceedings {INPROC-2010-122,
author = {Nicola H{\"o}nle and Matthias Gro{\ss}mann and Steffen Reimann and Bernhard Mitschang},
title = {{Usability analysis of compression algorithms for position data streams}},
booktitle = {18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, ACM-GIS 2010, November 3-5, 2010, San Jose, CA, USA, Proceedings},
editor = {Agrawal Divyakant and Pusheng Zhang and Amr El Abbadi and Mohamed F. Mokbel},
publisher = {ACM},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {240--249},
type = {Conference Paper},
month = {November},
year = {2010},
keywords = {trajectory compression; sensor data stream},
language = {English},
cr-category = {H.2.8 Database Applications,
C.2.4 Distributed Systems,
F.2.2 Nonnumerical Algorithms and Problems,
G.1.2 Numerical Analysis Approximation},
contact = {nicola.hoenle@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {With the increasing use of sensor technology, the compression of sensor data
streams is getting more and more important to reduce both the costs of further
processing as well as the data volume for persistent storage. A popular method
for sensor data compression is to smooth the original measurement curve by an
approximated curve, which is bounded by a given maximum error value.
Measurement values from positioning systems like GPS are an interesting special
case, because they consist of two spatial and one temporal dimension. Therefore
various standard techniques for approximation calculations like regression or
line simplification algorithms cannot be directly applied.
In this paper, we portray our stream data management system NexusDS and an
operator for compressing sensor data. For the operator, we implemented various
compression algorithms for position data streams. We present the required
adaptations and the different characteristics of the compression algorithms as
well as the results of our evaluation experiments, and compare them with a map
matching approach, specifically developed for position data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-122&engl=1}
}
@inproceedings {INPROC-2010-121,
author = {Jorge Minguez and Frank Ruthardt and Philipp Riffelmacher and Thorsten Scheibler and Bernhard Mitschang},
title = {{Service-based Integration in Event-driven Manufacturing Environments}},
booktitle = {WISE 2010 Workshops},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science},
volume = {6724},
pages = {0--14},
type = {Conference Paper},
month = {December},
year = {2010},
keywords = {Manufacturing; Service-oriented Computing; Service-oriented Architecture},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Constantly changing business conditions require a high level of flexibility in
business processes as well as an adaptive and fully interoperable IT
infrastructure in today’s manufacturing environments. The lack of flexibility
prevents manufacturing companies to improve their responsiveness and to adapt
their workflows to turbulent scenarios. In order to achieve highly flexible and
adaptive workflows, information systems in digital factories and shop floors
need to be integrated. The most challenging problem in such manufacturing
environments is the high heterogeneity of the IT landscape, where the
integration of legacy systems and information silos has lead to chaotic
architectures over the last two decades. In order to overcome this issue, we
present a flexible integration platform that allows a loose coupling of
distributed services in event-driven manufacturing environments. Our approach
enables a flexible communication between digital factory and shop floor
components by introducing a service bus architecture. Our solution integrates
an application-independent canonical message format for manufacturing events,
content-based routing and transformation services as well as event processing
workflows.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-121&engl=1}
}
@inproceedings {INPROC-2010-120,
author = {Andreas Brodt and Alexander Wobser and Bernhard Mitschang},
title = {{Resource Discovery Protocols for Bluetooth-Based Ad-hoc Smart Spaces: Architectural Considerations and Protocol Evaluation}},
booktitle = {Proceedings of the 2010 Eleventh International Conference on Mobile Data Management},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {145--150},
type = {Conference Paper},
month = {May},
year = {2010},
isbn = {978-0-7695-4048-1},
keywords = {Bluetooth; ad-hoc network; scatternet; protocol; evaluation; ad-hoc smart spaces; resource discovery; mobile device},
language = {English},
cr-category = {C.2.1 Network Architecture and Design,
C.2.2 Network Protocols},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2010-120/INPROC-2010-120.pdf},
contact = {brodt@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Ad-hoc smart spaces aim at resource-rich mobile devices sharing resource and
context data with others near them spontaneously. Thus, a device may, e.g.,
obtain a more complete context model by utilizing sensor data of its neighbors
via wireless communication, such as Bluetooth. The highly dynamic device
neighborhood challenges resource discovery, as the devices have to organize
themselves autonomously.
This paper evaluates different resource discovery protocols in Bluetooth-based
ad-hoc smart spaces. We simulate the protocols in different scenarios taking
into account the scatternet structure of the network. We suggest request
flooding for small settings and random replication for medium to large spaces.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-120&engl=1}
}
@inproceedings {INPROC-2010-119,
author = {Andreas Brodt and Daniela Nicklas and Bernhard Mitschang},
title = {{Deep integration of spatial query processing into native RDF triple stores}},
booktitle = {Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems},
address = {New York, NY, USA},
publisher = {ACM Press},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {33--42},
type = {Conference Paper},
month = {November},
year = {2010},
isbn = {978-1-4503-0428-3},
keywords = {GIS, RDF, SPARQL, spatial database, triple store},
language = {English},
cr-category = {H.2.8 Database Applications},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2010-119/INPROC-2010-119.pdf},
contact = {brodt@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Semantic Web technologies, most notably RDF, are well-suited to cope with
typical challenges in spatial data management including analyzing complex
relations between entities, integrating heterogeneous data sources and
exploiting poorly structured data, e.g., from web communities. Also, RDF can
easily represent spatial relationships, as long as the location information is
symbolic, i.e., represented by places that have a name. What is widely missing
is support for geographic and geometric information, such as coordinates or
spatial polygons, which is needed in many applications that deal with sensor
data or map data. This calls for efficient data management systems which are
capable of querying large amounts of RDF data and support spatial query
predicates. We present a native RDF triple store implementation with deeply
integrated spatial query functionality. We model spatial features in RDF as
literals of a complex geometry type and express spatial predicates as SPARQL
filter functions on this type. This makes it possible to use W3C's standardized
SPARQL query language as-is, i.e., without any modifications or extensions for
spatial queries. We evaluate the characteristics of our system on very large
data volumes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2010-119&engl=1}
}
@inproceedings {INPROC-2009-94,
author = {Nazario Cipriani and Mike Eissele and Andreas Brodt and Matthias Gro{\ss}mann and Bernhard Mitschang},
title = {{NexusDS: A Flexible and Extensible Middleware for Distributed Stream Processing}},
booktitle = {IDEAS '09: Proceedings of the 2008 International Symposium on Database Engineering \& Applications},
editor = {ACM},
publisher = {ACM},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {152--161},
type = {Conference Paper},
month = {September},
year = {2009},
keywords = {Data Stream Processing; Stream Databases; Middleware Platforms for DataManagement; P2P and Networked DataManagement; Database Services and Applications},
language = {English},
cr-category = {C.2 Computer-Communication Networks,
C.5 Computer System Implementation,
H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {ABSTRACT
Techniques for efficient and distributed processing of huge, unbound data
streams have made some impact in the database community. Sensors and data
sources, such as position data of moving objects, continuously produce data
that is consumed, e.g., by location-aware applications. Depending on the domain
of interest, e.g. visualization, the processing of such data often depends on
domain-specific functionality. This functionality is specified in terms of
dedicated operators that may require specialized hardware, e.g. GPUs. This
creates a strong dependency which a data stream processing system must consider
when deploying such operators. Many data stream processing systems have been
presented so far. However, these systems assume homogeneous computing nodes, do
not consider operator deployment constraints, and are not designed to address
domain-specific needs.
In this paper, we identify necessary features that a exible and extensible
middleware for distributed stream processing of context data must satisfy. We
present NexusDS, our approach to achieve these requirements. In NexusDS, data
processing is specified by orchestrating data flow graphs, which are modeled as
processing pipelines of predefined and general operators as well as
custom-built and domain-specific ones. We focus on easy extensibility and
support for domain-specific operators and services that may even utilize
specific hardware available on dedicated computing nodes},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-94&engl=1}
}
@inproceedings {INPROC-2009-68,
author = {Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{Extended Analysis Techniques For a Comprehensive Business Process Optimization}},
booktitle = {Proc. of the International Conference on Knowledge Management and Information Sharing (KMIS 2009), Portugal, 6.-8. Oktober, 2009.},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--6},
type = {Conference Paper},
month = {October},
year = {2009},
language = {English},
cr-category = {H.2.7 Database Administration,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient adaption of a company’s business and its business processes to a
changing environment is a crucial ability to survive in today’s dynamic world.
For optimizing business processes, a profound analysis of all relevant business
data in the company is necessary. We define an extended data warehouse approach
that integrates process-related data and operational business data. This
extended data warehouse is used as the underlying data source for extended OLAP
and data mining analysis techniques for a comprehensive business process
optimization.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-68&engl=1}
}
@inproceedings {INPROC-2009-130,
author = {Jorge Minguez and Mihaly Jakob and Uwe Heinkel and Bernhard Mitschang},
title = {{A SOA-based approach for the integration of a data propagation system}},
booktitle = {IRI'09: Proceedings of the 10th IEEE international conference on Information Reuse \& Integration},
publisher = {IEEE Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {47--52},
type = {Conference Paper},
month = {August},
year = {2009},
isbn = {978-1-4244-4114-3},
language = {German},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Major challenges that companies face nowadays are extremely volatile markets, a
globally distributed supplier network and constantly changing business
environments. These circumstances demand a high level of agility and
extraordinary flexibility in the business modeling and the organizational
structures of a company as well as adaptive and interoperable IT systems. In
order to meet these requirements an integration of systems needs to be
achieved.
A possible solution for this problem is Champagne, which is a data propagation
system that ensures the interoperability of enterprise applications at the data
level. However, Champagne provides a tightly-coupled integration of
applications and its architecture lacks the needed flexibility to link business
processes.
These deficiencies can be overcome with the adoption of a service-oriented
architecture (SOA), based on loosely-coupled services, which enable a higher
level of flexibility and interoperability. Therefore, we explore in this paper
a number of options to reuse and integrate Champagne into a service-oriented
architecture in order to benefit from SOA principles.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-130&engl=1}
}
@inproceedings {INPROC-2009-126,
author = {Jorge M$\backslash$'$\backslash$inguez and Mih$\backslash$'aly Jakob and Uwe Heinkel and Bernhard Mitschang},
title = {{A SOA-based approach for the integration of a data propagation system}},
booktitle = {IRI'09: Proceedings of the 10th IEEE international conference on Information Reuse \& Integration},
publisher = {IEEE Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {47--52},
type = {Conference Paper},
month = {August},
year = {2009},
isbn = {978-1-4244-4114-3},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Major challenges that companies face nowadays are extremely volatile markets, a
globally distributed supplier network and constantly changing business
environments. These circumstances demand a high level of agility and
extraordinary flexibility in the business modeling and the organizational
structures of a company as well as adaptive and interoperable IT systems. In
order to meet these requirements an integration of systems needs to be
achieved.
A possible solution for this problem is Champagne, which is a data propagation
system that ensures the interoperability of enterprise applications at the data
level. However, Champagne provides a tightly-coupled integration of
applications and its architecture lacks the needed flexibility to link business
processes.
These deficiencies can be overcome with the adoption of a service-oriented
architecture (SOA), based on loosely-coupled services, which enable a higher
level of flexibility and interoperability. Therefore, we explore in this paper
a number of options to reuse and integrate Champagne into a service-oriented
architecture in order to benefit from SOA principles.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-126&engl=1}
}
@inproceedings {INPROC-2009-125,
author = {Jorge M$\backslash$'$\backslash$inguez and Mih$\backslash$'aly Jakob and Uwe Heinkel and Bernhard Mitschang},
title = {{A SOA-based approach for the integration of a data propagation system}},
booktitle = {IRI'09: Proceedings of the 10th IEEE international conference on Information Reuse \& Integration},
publisher = {IEEE Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {47--52},
type = {Conference Paper},
month = {August},
year = {2009},
isbn = {978-1-4244-4114-3},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Major challenges that companies face nowadays are extremely volatile markets, a
globally distributed supplier network and constantly changing business
environments. These circumstances demand a high level of agility and
extraordinary flexibility in the business modeling and the organizational
structures of a company as well as adaptive and interoperable IT systems. In
order to meet these requirements an integration of systems needs to be
achieved.
A possible solution for this problem is Champagne, which is a data propagation
system that ensures the interoperability of enterprise applications at the data
level. However, Champagne provides a tightly-coupled integration of
applications and its architecture lacks the needed flexibility to link business
processes.
These deficiencies can be overcome with the adoption of a service-oriented
architecture (SOA), based on loosely-coupled services, which enable a higher
level of flexibility and interoperability. Therefore, we explore in this paper
a number of options to reuse and integrate Champagne into a service-oriented
architecture in order to benefit from SOA principles.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2009-125&engl=1}
}
@inproceedings {INPROC-2008-86,
author = {Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{An Annotation Approach for the Matching of Process Variables and Operational Business Data Models}},
booktitle = {Proc. of the 21st International Conference on Computer Applications in Industry and Engineering (CAINE 2008)},
address = {Honolulu, USA},
publisher = {The International Society for Computers and Their Applications},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--6},
type = {Conference Paper},
month = {November},
year = {2008},
language = {English},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.12 Software Engineering Interoperability,
H.4.1 Office Automation,
H.5.2 Information Interfaces and Presentation User Interfaces},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient adaptation to new situations of a company’s business and its business
processes plays an important role for achieving advantages in competition to
other companies. For an optimization of business processes, a profound analysis
of all relevant business data in the company is necessary. Analyses typically
specialize either on process analysis or on data warehousing of operational
business data. However, to achieve a significantly more detailed analysis in
order to fully optimize a company’s business, a consolidation of all major
business data sources is indispensable.
This paper introduces an approach that allows consolidating process variables
and operational data models in a semi-automatic manner. In order to do this, a
semantic annotation is applied. In this paper, we focus on an ontology-based
annotation of the operational data in data warehouses, show how it is realized
in a tool and discuss its general usability in other areas.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-86&engl=1}
}
@inproceedings {INPROC-2008-82,
author = {Frank Wagner and Kathleen Krebs and Cataldo Mega and Bernhard Mitschang and Norbert Ritter},
title = {{Email Archiving and Discovery as a Service}},
booktitle = {Intelligent Distributed Computing, Systems and Applications; Proceedings of the 2nd International Symposium on Intelligent Distributed Computing: IDC 2008; Catania, Italy},
editor = {Costin Badica and Giuseppe Mangioni and Vincenza Carchiolo and Dumitru Dan Burdescu},
publisher = {Springer-Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Studies in Computational Intelligence},
volume = {162},
pages = {197--206},
type = {Conference Paper},
month = {September},
year = {2008},
isbn = {978-3-540-85256-8},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.3.2 Information Storage,
H.3.4 Information Storage and Retrieval Systems and Software},
contact = {Frank Wagner frank.wagner@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Corporate governance and legislative regulations are forcing companies to
extend their IT infrastructure by Email Archive and Discovery (EAD) systems for
compliance reasons. Praxis shows that every installation is di??erent from
another; not only in terms of the execution infrastructure, but also in terms
of e.g. document and archiving procedures that map a company’s own business
rules. As a consequence, EAD systems have to be highly customizable to their
intended usages.
For this purpose, we propose a service-oriented approach at various levels of
detail that, on one hand, allows for describing EAD properties at the abstract
(service) level and, on the other hand, supports the appropriate mapping of
these services to the existing execution infrastructure. In this paper, we
focus on the development and (architectural) design of an EAD system, which is
well suited to fulfill these requirements. On the long run, we consider this
solution as an important step on the way to an e??ective distributed and
scalable approach, which, as we think, can be achieved by appropriate
mechanisms of automatic workload management and dynamic provisioning of EAD
services based on e.g. grid technology.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-82&engl=1}
}
@inproceedings {INPROC-2008-81,
author = {Frank Wagner and Kathleen Krebs and Cataldo Mega and Bernhard Mitschang and Norbert Ritter},
title = {{Towards the Design of a Scalable Email Archiving and Discovery Solution}},
booktitle = {Proceedings of the 12th East-European Conference on Advances in Databases and Information Systems},
editor = {Paolo Atzeni and Albertas Caplinskas and Hannu Jaakkola},
publisher = {Sptringer-Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Lecture Notes in Computer Science},
pages = {305--320},
type = {Conference Paper},
month = {September},
year = {2008},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.3.2 Information Storage,
H.3.4 Information Storage and Retrieval Systems and Software},
contact = {Frank Wagner frank.wagner@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper we propose a novel approach to specialize a general purpose
Enterprise Content Management (ECM) System into an Email Archiving and
Discovery (EAD) System. The magnitude and range of compliance risks associated
with the management of EAD is driving investment in the development of more
effective and efficient approaches to support regulatory compliance, legal
discovery and content life-cycle needs. Companies must recognize and address
requirements like legal compliance, electronic discovery, and document
retention management. What is needed today are EAD systems capable to process
very high message ingest rates, support distributed full text indexing, and
allow forensic search such to support litigation cases. All this must be
provided at lowest cost with respect to archive management and administration.
In our approach we introduce a virtualized ECM repository interface where the
key content repository components are wrapped into a set of tightly coupled
Grid service entities, such to achieve scale-out on a cluster of commodity
blade hardware that is automatically configured and dynamically provisioned. By
doing so we believe, we can leverage the strength of Relational Database
Management Systems and Full Text Indexes in a managed clustered environment
with minimal operational overhead.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-81&engl=1}
}
@inproceedings {INPROC-2008-51,
author = {Nicola H{\"o}nle and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{Preprocessing Position Data of Mobile Objects}},
booktitle = {Proceedings of the 9th International Conference on Mobile Data Management (MDM'08); Beijing, China, April 27-30, 2008.},
publisher = {IEEE computer society},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {1--8},
type = {Conference Paper},
month = {April},
year = {2008},
isbn = {978-0-7695-3154-0},
language = {German},
cr-category = {H.2.8 Database Applications,
G.1.2 Numerical Analysis Approximation},
contact = {nicola.hoenle@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {We present the design and implementation of a component for the preprocessing
of position data taken from moving objects. The movement of mobile objects is
represented by piecewise functions over time that approximate the real object
movement and significantly reduce the initial data volume such that efficient
storage and analysis of object trajectories can be achieved. The maximal
acceptable deviation---an input parameter of our algorithms---of the
approximations also includes the uncertainty of the position sensor
measurements. We analyze and compare five different lossy preprocessing
methods. Our results clearly indicate that even with simple approaches, a more
than sufficient overall performance can be achieved.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-51&engl=1}
}
@inproceedings {INPROC-2008-50,
author = {Andreas Brodt and Daniela Nicklas and Sailesh Sathish and Bernhard Mitschang},
title = {{Context-Aware Mashups for Mobile Devices}},
booktitle = {Web Information Systems Engineering – WISE 2008 9th International Conference on Web Information Systems Engineering, Auckland, New Zealand, September 1-3, 2008, Proceedings},
publisher = {Springer-Verlag},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
series = {Lecture Notes in Computer Science},
type = {Conference Paper},
month = {January},
year = {2008},
keywords = {mashup, location-based services, Delivery Context Client Interfaces, DCCI, AJAX, context provisioning},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.12 Software Engineering Interoperability,
H.5.1 Multimedia Information Systems,
H.5.4 Hypertext/Hypermedia,
H.2.5 Heterogeneous Databases},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2008-50/INPROC-2008-50.pdf},
contact = {andreas.brodt@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {With the Web 2.0 trend and its participation of end-users more and more data
and information services are online accessible, such as web sites, Wikis, or
web services. So-called mashups---web applications that integrate data from
more than one source into an integrated service---can be easily realized using
scripting languages. Also, mobile devices are increasingly powerful, have
ubiquitous access to the Web and feature local sensors, such as GPS. Thus,
mobile applications can adapt to the mobile user's current situation.
We examine how context-aware mashups can be created. One challenge is the
provisioning of context data to the mobile application. For this, we discuss
different ways to integrate context data, such as the user's position, into web
applications. Moreover, we assess different data formats and the overall
performance. Finally, we present the Telar Mashup Platform, a client-server
solution for location-based mashups for mobile devices such as the Nokia N810
Internet Tablet.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-50&engl=1}
}
@inproceedings {INPROC-2008-49,
author = {Matthias Grossmann and Nicola H{\"o}nle and Daniela Nicklas and Bernhard Mitschang},
title = {{Reference Management in a Loosely Coupled, Distributed Information System}},
booktitle = {Proceedings of the 12th East-European Conference on Advances in Databases and Information Systems},
editor = {Paolo Atzeni and Albertas Caplinskas and Hannu Jaakkola},
publisher = {Springer-Verlag},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
series = {Lecture Notes in Computer Science},
type = {Conference Paper},
month = {September},
year = {2008},
language = {English},
cr-category = {E.2 Data Storage Representations,
H.2.2 Database Management Physical Design,
H.2.4 Database Management Systems},
contact = {Matthias Grossmann matthias.grossmann@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {References between objects in loosely coupled distributed information systems
pose a problem. On the one hand, one tries to avoid referential inconsistencies
like, e.g., dangling links in the WWW. On the other hand, using strict
constraints as in databases may restrict the data providers severely. We
present the solution to this problem that we developed for the Nexus system.
The approach tolerates referential inconsistencies in the data while providing
consistent query answers to users. For traversing references, we present a
concept based on return references. This concept is especially suitable for
infrequent object migrations and provides a good query performance. For
scenarios where object migrations are frequent, we developed an alternative
concept based on a distributed hash table.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-49&engl=1}
}
@inproceedings {INPROC-2008-32,
author = {Sylvia Radesch{\"u}tz and Florian Niedermann and Bernhard Mitschang},
title = {{Ein Annotationsansatz zur Unterst{\"u}tzung einer ganzheitlichen Gesch{\"a}ftsanalyse}},
booktitle = {Proc. of the 5th Conference on Data Warehousing: Synergien durch Integration und Informationslogistik. (DW2008); St. Gallen, 27.-28. Oktober, 2008},
publisher = {Lecture Notes in Informatics (LNI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--19},
type = {Conference Paper},
month = {October},
year = {2008},
language = {German},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.12 Software Engineering Interoperability,
H.4.1 Office Automation,
H.5.2 Information Interfaces and Presentation User Interfaces},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Die Verbesserung der Gesch{\"a}ftsprozesse in einem Unternehmen spielt eine immer
wichtigere Rolle, um Wettbewerbsvorteile gegen{\"u}ber der Konkurrenz zu erlangen.
Daf{\"u}r ist eine umfassende Analyse n{\"o}tig {\"u}ber alle verf{\"u}gbaren Informationen in
diesem Unternehmen. Aktuelle Verfahren konzentrieren sich entweder auf die
Analyse von Prozessdaten oder die Analyse von operativen Anwendungsdaten, die
typischerweise in einem Data Warehouse vorliegen. F{\"u}r die Ausf{\"u}hrung einer
tiefergehenden Analyse ist es jedoch notwendig, Prozessdaten und operative
Daten zu verkn{\"u}pfen. Dieser Beitrag stellt zwei Ans{\"a}tze vor, welche es
erm{\"o}glichen, diese Daten effektiv und flexibel zusammenzuf{\"u}hren. Der erste
Ansatz stellt eine direkte Verkn{\"u}pfung von Entit{\"a}ten aus den Prozessdaten mit
Entit{\"a}ten aus den operativen Daten her. Die Verkn{\"u}pfung im zweiten Ansatz
beruht hingegen auf der semantischen Beschreibung der Daten. Beide Methoden
sind in einem Werkzeug realisiert.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-32&engl=1}
}
@inproceedings {INPROC-2008-05,
author = {Sylvia Radesch{\"u}tz and Bernhard Mitschang and Frank Leymann},
title = {{Matching of Process Data and Operational Data for a Deep Business Analysis}},
booktitle = {Proc. of the 4th International Conference on Interoperability for Enterprise Software and Applications (I-ESA 2008), Berlin, M{\"a}rz 26-28, 2008.},
address = {London},
publisher = {Springer-Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {171--182},
type = {Conference Paper},
month = {March},
year = {2008},
doi = {10.1007/978-1-84800-221-0_14},
language = {English},
cr-category = {H.2.4 Database Management Systems},
ee = {http://www.aidima.es/iesa2008/},
department = {University of Stuttgart, Institute of Architecture of Application Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Efficient adaptation to new situations of a company's business and its business
processes plays an important role for achieving advantages in competition to
other companies. For an optimization of processes, a profound analysis of all
relevant information in the company is necessary. Analyses typically specialize
either on process analysis or on data warehousing of operational data. A
consolidation of business data is needed, i.e. of internal process execution
data and external operational data, in order to allow for interoperability
between these major business data sources to analyze and optimize processes in
a much more comprehensive scope. This paper introduces a framework that offers
various data descriptions to reach an efficient matching of process data and
operational data, and shows its enhancement compared to separate analyses and
other matching approaches.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-05&engl=1}
}
@inproceedings {INPROC-2008-02,
author = {Marko Vrhovnik and Holger Schwarz and Sylvia Radesch{\"u}tz and Bernhard Mitschang},
title = {{An Overview of SQL Support in Workflow Products}},
booktitle = {Proc. of the 24th International Conference on Data Engineering (ICDE 2008), Canc{\'u}n, M{\'e}xico, April 7-12, 2008},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {April},
year = {2008},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Over the last years, data management products as well as workflow products have
established themselves as indispensable building blocks for advanced IT systems
in almost all application areas. Recently, many vendors have created innovative
product extensions that combine service-oriented frameworks with powerful
workflow and data management capabilities.
In this paper, we discuss several workflow products from different vendors with
a specific focus on their SQL support. We provide a comparison based on a set
of important data management patterns and illustrate the characteristics of
various approaches by means of a running example.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2008-02&engl=1}
}
@inproceedings {INPROC-2007-64,
author = {Nazario Cipriani and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{Federated Spatial Cursors}},
booktitle = {Proceedings of the IX Brazilian Symposium on Geoinformatics},
address = {S{\~a}o Jos{\'e} dos Campos, Brazil},
publisher = {Online},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {85--96},
type = {Conference Paper},
month = {November},
year = {2007},
isbn = {978-85-17-00036-2},
keywords = {nexus; cursor; federation; spatial},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.3.4 Information Storage and Retrieval Systems and Software},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2007-64/INPROC-2007-64.pdf,
http://www.geoinfo.info/geoinfo2007/anais_geoinfo2007.pdf},
contact = {Senden Sie eine E-mail an Nazario.Cipriani@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The usage of small mobile devices for data-intensive applications becomes more
and more self-evident. As a consequence we have to consider these devices and
their inherent characteristics in future system designs, like the limitations
of memory and communication bandwidth. For example, when querying data servers
for information, a mobile application can hardly anticipate the size of the
result set. Our approach is to give more control over the data delivery process
to the application, so that it can be adapted regarding its device status, the
costs and availability of communication channels, and the user’s needs. This
paper introduces a flexible and scalable approach by providing spatially
federated cursor functionality. It is based on an open federation over a set of
loosely coupled data sources that provide simple object retrieval interfaces.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-64&engl=1}
}
@inproceedings {INPROC-2007-59,
author = {Jing Lu and Bernhard Mitschang},
title = {{DIS-CS: Improving Enterprise Data Integration by Constraint Service}},
booktitle = {ISCA 20th INTERNATIONAL CONFERENCE ON COMPUTER APPLICATIONS IN INDUSTRY AND ENGINEERING, November 7-9, 2007, San Francisco, California, USA.},
publisher = {The International Society for Computers and Their Applications},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {212--217},
type = {Conference Paper},
month = {November},
year = {2007},
isbn = {978-1-880843-65-9},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {This paper presents an approach to provide a Constraint Service for XML-based
Data Integration Systems. Constraints from local data sources and global
constraints are expressed in a uniform constraint model based on Active XQuery
and are stored in Constraint Repository. We introduce the concept of Constraint
Wrapper and translate local constraints from data sources automatically into
the uniform constraint model through Constraint Wrapper with the help of schema
mapping information. The Constraint Service can be published as web service and
be invoked by different Data Integration Systems. Through the Constraint
Service, queries can be optimized, and global updates can be checked for
validity and integrity. We establish the DIS-CS system to facilitate both the
architecture and the implementation. We carry out experiments of Semantic Query
Optimization using Constraints. The results show that the performance of the
queries is greatly improved.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-59&engl=1}
}
@inproceedings {INPROC-2007-29,
author = {Rodrigo Monteiro and Geraldo Zimbrao and Holger Schwarz and Bernhard Mitschang and Jano Souza},
title = {{DWFIST: Leveraging Calendar-based Pattern Mining in Data Streams}},
booktitle = {Proc. of the 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007) Regensburg, Germany, 3-7 September, 2007},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {438--448},
type = {Conference Paper},
month = {September},
year = {2007},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Calendar-based pattern mining aims at identifying patterns on specific calendar
partitions. Potential calendar partitions are for example: every Monday, every
first working day of each month, every holiday. Providing flexible mining
capabilities for calendar-based partitions is especially challenging in a data
stream scenario. The calendar partitions of interest are not known a priori and
at each point in time only a subset of the detailed data is available. We show
how a data warehouse approach can be applied to this problem. The data
warehouse that keeps track of frequent itemsets holding on different partitions
of the original stream has low storage requirements. Nevertheless, it allows to
derive sets of patterns that are complete and precise. This work demonstrates
the effectiveness of our approach by a series of experiments.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-29&engl=1}
}
@inproceedings {INPROC-2007-28,
author = {Marko Vrhovnik and Holger Schwarz and Oliver Suhre and Bernhard Mitschang and Volker Markl and Albert Maier and Tobias Kraft},
title = {{An Approach to Optimize Data Processing in Business Processes}},
booktitle = {Proc. of the 33rd International Conference on Very Large Data Bases (VLDB 2007), Vienna, Austria, September 23-28, 2007},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--12},
type = {Conference Paper},
month = {September},
year = {2007},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In order to optimize their revenues and profits, an increasing number of
businesses organize their business activities in terms of business processes.
Typically, they automate important business tasks by orchestrating a number of
applications and data stores. Obviously, the performance of a business process
is directly dependent on the efficiency of data access, data processing, and
data management.
In this paper, we propose a framework for the optimization of data processing
in business processes. We introduce a set of rewrite rules that transform a
business process in such a way that an improved execution with respect to data
management can be achieved without changing the semantics of the original
process. These rewrite rules are based on a semi-procedural process graph model
that externalizes data dependencies as well as control flow dependencies of a
business process. Furthermore, we present a multi-stage control strategy for
the optimization process. We illustrate the benefits and opportunities of our
approach through a prototype implementation. Our experimental results
demonstrate that independent of the underlying database system performance
gains of orders of magnitude are achievable by reasoning about data and control
in a unified framework.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-28&engl=1}
}
@inproceedings {INPROC-2007-125,
author = {Nazario Cipriani and Matthias Gro{\ss}mann and Daniela Nicklas and Bernhard Mitschang},
title = {{Federated Spatial Cursors}},
booktitle = {IX Brazilian Symposium on Geoinformatics, 25-28 November, Campos do Jordao, Sao Paulo, Brazil},
publisher = {INPE},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {85--96},
type = {Conference Paper},
month = {November},
year = {2007},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.2.4 Database Management Systems,
H.3.3 Information Search and Retrieval},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The usage of small mobile devices for data-intensive applications becomes more
and more self-evident. As a consequence we have to consider these devices and
their inherent characteristics in future system designs, like the limitations
of memory and communication bandwidth. For example, when querying data servers
for information, a mobile application can hardly anticipate the size of the
result set. Our approach is to give more control over the data delivery process
to the application, so that it can be adapted regarding its device status, the
costs and availability of communication channels, and the user’s needs. This
paper introduces a flexible and scalable approach by providing spatially
federated cursor functionality. It is based on an open federation over a set of
loosely coupled data sources that provide simple object retrieval interfaces.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-125&engl=1}
}
@inproceedings {INPROC-2007-108,
author = {Ralf Wagner and Bernhard Mitschang},
title = {{A Methodology and Guide for Effective Reuse in Integration Architectures for Enterprise Applications}},
booktitle = {Distributed Objects and Applications (DOA) 2007 International Conference},
publisher = {.},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {522--539},
type = {Conference Paper},
month = {November},
year = {2007},
language = {English},
cr-category = {A.0 General Literature, General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-108&engl=1}
}
@inproceedings {INPROC-2007-107,
author = {Ralf Wagner and Bernhard Mitschang},
title = {{Flexible Reuse of Middleware Infrastructures in Heterogeneous IT Environments}},
booktitle = {Proceedings of the IEEE International Conference on Information Reuse and Integration},
publisher = {.},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {323--328},
type = {Conference Paper},
month = {August},
year = {2007},
language = {English},
cr-category = {A.0 General Literature, General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-107&engl=1}
}
@inproceedings {INPROC-2007-106,
author = {Ralf Wagner and Bernhard Mitschang},
title = {{A Virtualization Approach for Reusing Middleware Adapters}},
booktitle = {Proceedings of the Ninth International Conference on Enterprise Information Systems},
publisher = {.},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {78--85},
type = {Conference Paper},
month = {June},
year = {2007},
language = {English},
cr-category = {A.0 General Literature, General},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-106&engl=1}
}
@inproceedings {INPROC-2007-105,
author = {Tobias Kraft and Holger Schwarz and Bernhard Mitschang},
title = {{A Statistics Propagation Approach to Enable Cost-Based Optimization of Statement Sequences}},
booktitle = {Proc. of the 11th East European Conference on Advances in Databases and Information Systems (ADBIS 2007), Varna, Bulgaria, September 29 - October 3, 2007},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {267--282},
type = {Conference Paper},
month = {September},
year = {2007},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-105&engl=1}
}
@inproceedings {INPROC-2007-104,
author = {Tobias Kraft and Bernhard Mitschang},
title = {{Statistics API: DBMS-Independent Access and Management of DBMS Statistics in Heterogeneous Environments}},
booktitle = {Proc. of the 9th International Conference on Enterprise Information Systems (ICEIS 2007), Funchal, Madeira, Portugal, June 12-16, 2007},
publisher = {-},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {5--12},
type = {Conference Paper},
month = {June},
year = {2007},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-104&engl=1}
}
@inproceedings {INPROC-2007-03,
author = {Clemens Dorda and Uwe Heinkel and Bernhard Mitschang},
title = {{Improving Application Integration with Model-Driven Engineering}},
booktitle = {Proceedings of International Conference on Information Technology and Management 2007 : ICITM 2007; Hong Kong, China, January 3-5, 2007},
editor = {Chan Man-Chung and James N.K. Liu and Ronnie Cheung and Joe Zhou},
address = {Hong Kong},
publisher = {ISM Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {94--101},
type = {Conference Paper},
month = {January},
year = {2007},
isbn = {988-97311-5-0},
keywords = {Enterprise Application Integration, Model-Driven Engineering, Software Lifecycle, EAI, MDA, MDE, UML, Unified Modeling Language},
language = {English},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.13 Software Engineering Reusable Software,
I.6.5 Model Development},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2007-03/INPROC-2007-03.pdf},
contact = {Write message to Clemens.Dorda@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Modern software for Enterprise Application Integration (EAI)provide tools for
modeling integration scenarios. A drawback ofthese tools is the missing
functionality to exchange or integratemodels of different EAI products.
Consequently, developers candescribe real heterogeneous IT environments only
partially. Ourgoal is to avoid the creation of these so-called
‘integrationislands’. For that purpose we present an approach whichintroduces
an abstract view by technology-independent andmultivendor-capable modeling for
both development andmaintenance. With this approach, we propose a toolset-
andrepository-based refinement of the abstract view to automate
theimplementation with real products and the deployment on realplatforms.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2007-03&engl=1}
}
@inproceedings {INPROC-2006-56,
author = {Christoph Mangold and Holger Schwarz and Bernhard Mitschang},
title = {{Symbiosis in the Intranet: How Document Retrieval Benefits from Database Information}},
booktitle = {13th International Conference on Management of Data (COMAD 2006), December 14-16, 2006, Delhi, India},
editor = {L. V. S. Lakshmanan and P. Roy and A. K. H. Tung},
address = {New Delhi},
publisher = {Tata McGraw-Hill Publishing Company Limited},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {201--204},
type = {Conference Paper},
month = {December},
year = {2006},
isbn = {0-07-063374-6},
language = {English},
cr-category = {H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2006-56/INPROC-2006-56.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The enterprise information space is split in two hemispheres. Documents contain
unstructured or semistructured information; structured information is stored in
databases. As regards the content, both kinds of information are complementary
parts. However, enterprise information systems usually focus on one part, only.
Our approach improves document retrieval in the intranet by exploiting the
enterprise's databases. In particular, we exploit database information to
describe the context of documents and exploit this context to enhance common
full text search. In this paper, we show how to model and compute document
context and present results on runtime performance},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-56&engl=1}
}
@inproceedings {INPROC-2006-54,
author = {Thomas Schwarz and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{Exploiting Type and Space in a Main Memory Query Engine}},
booktitle = {Proceedings of the VIII Brazilian Symposium on GeoInformatics : GeoInfo2006 ; Campos do Jord{\~a}o, Brazil, November 19-22, 2006},
editor = {Clodoveu Augusto Davis Junior and Antonio Miguel Vieira Monteiro},
publisher = {INPE},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {35--52},
type = {Conference Paper},
month = {November},
year = {2006},
isbn = {9 788517 000270},
keywords = {Main Memory Query Engine, Indexing, Spatial Index, Type Hierarchies, Deployable Query Engine},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.3.1 Content Analysis and Indexing,
H.2.8 Database Applications},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2006-54/INPROC-2006-54.pdf},
contact = {Thomas Schwarz schwarts@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {More and more spatial data is accessible over the web or through portals of
wireless service providers. In this context the main selection criteria for the
data are the type of the requested data objects and their position in the real
world. Integration and performance issues are challenged by the need to process
ad hoc queries in an interactive fashion. In this paper we investigate how a
main memory query engine can be used to meet these requirements. It has the
added benefit of being easily deployable to many components in a large-scale
data integration system. Hence, we analyze how such a query engine can best
exploit the query characteristics by employing an index structure that
leverages spatial and type dimensions.
In order to support query processing in the best possible way we investigate a
specific multi-dimensional main memory index structure. Compared to the
straightforward approach using separate indexes on type and position we can
increase the performance up to almost an order of magnitude in several
important usage scenarios. This requires to tweak the mapping of type IDs to
values in the type dimension, which we discuss extensively. This enables the
overall system to be used interactively, even with large data sets.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-54&engl=1}
}
@inproceedings {INPROC-2006-52,
author = {Christoph Mangold and Holger Schwarz and Bernhard Mitschang},
title = {{u38: A Framework for Database-Supported Enterprise Document-Retrieval}},
booktitle = {Proceedings of the Tenth International Database Engineering \& Apllications Symposium (IDEAS2006), Delhi, India, December 11-14, 2006},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--8},
type = {Conference Paper},
month = {December},
year = {2006},
language = {English},
cr-category = {H.3.3 Information Search and Retrieval},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In enterprises, information is encoded in documents and databases. Logically,
the information in both worlds is tightly connected, however, on the system
level there is usu- ally a large gap. In this paper, we propose a framework
that improves document retrieval by exploiting available enter- prise
databases. In particular, we use database information to model the context of
documents and incorporate this con- text in our search framework. We present
our framework architecture, its components and its major interfaces. The
framework can be configured and enhanced at well-defined points and, hence, can
easily be customized to other do- mains. We furthermore evaluate its core
components. Our experiments show that the context-aware approach signifi-
cantly improves the quality of search results.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-52&engl=1}
}
@inproceedings {INPROC-2006-49,
author = {Mih{\'a}ly Jakob and Holger Schwarz and Fabian Kaiser and Bernhard Mitschang},
title = {{Towards an operation model for generated web applications}},
booktitle = {Workshop proceedings of the sixth international conference on Web engineering (MDWE 2006); Palo Alto, California, USA, July 2006},
editor = {Association for Computing Machinery (ACM)},
address = {New York},
publisher = {ACM Press New York, NY, USA},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
type = {Conference Paper},
month = {July},
year = {2006},
language = {English},
cr-category = {D.2.3 Software Engineering Coding Tools and Techniques,
D.2.11 Software Engineering Software Architectures,
H.4 Information Systems Applications,
H.5.4 Hypertext/Hypermedia},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {This paper describes a new approach for the development of data-intensive web
applications that depend on non-trivial data manipulation. E-Commerce web
sites, on-line auction systems and large enterprise web portals fall into this
category as they require comprehensive data access, data processing and data
manipulation capabilities. However, existing methodologies mainly concentrate
on modeling content, navigation and presentation aspects of read-only web
sites. Approaches that consider modeling data operations incorporate them into
existing models resulting in a less clear design. We argue that existing models
are not sufficient to express complex operations that access or modify web
application content. Therefore, we propose an additional Operation Model
defining operations for data-intensive web applications. We also propose the
utilization of a web application generator to create an Operation Layer based
on this Operation Model.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-49&engl=1}
}
@inproceedings {INPROC-2006-48,
author = {Mih{\'a}ly Jakob and Holger Schwarz and Fabian Kaiser and Bernhard Mitschang},
title = {{Modeling and Generating Application Logic for Data-Intensive Web Applications}},
booktitle = {Proceedings of the 6th international conference on Web engineering (ICWE2006); Palo Alto, California, USA, July 2006},
editor = {Association for Computing Machinery (ACM)},
address = {New York},
publisher = {ACM Press New York, NY, USA},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {77--84},
type = {Conference Paper},
month = {July},
year = {2006},
language = {English},
cr-category = {D.2.3 Software Engineering Coding Tools and Techniques,
D.2.11 Software Engineering Software Architectures,
H.4 Information Systems Applications,
H.5.4 Hypertext/Hypermedia},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {This paper presents a new approach for the development of data-intensive web
applications that depend on sophisticated application logic. E-Commerce web
sites, on-line auction systems and large enterprise web portals fall into this
category as they require comprehensive data access, data processing and data
manipulation capabilities. However, existing methodologies mainly concentrate
on modeling content, navigation and presentation aspects of read-only web
sites. In our opinion these models are not sufficient to express complex
operations that access or modify web application content. Therefore, we propose
an additional Operation Model defining the application logic of a web
application. We show that based on this model a significant part of a web
application’s Operation Layer can be generated, still allowing the manual
implementation of arbitrary additional functionality. We evaluate our approach
and present experimental results based on a large example application for the
area of innovation management.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2006-48&engl=1}
}
@inproceedings {INPROC-2005-84,
author = {Uwe Heinkel and Carmen Constantinescu and Bernhard Mitschang},
title = {{Integrating Data Changes with Data from Data Service Providers}},
booktitle = {Proceedings of the 18th International Conference on Computer Applications in Industry and Engineering (CAINE 2005)},
publisher = {ICSA},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {146--151},
type = {Conference Paper},
month = {November},
year = {2005},
language = {English},
cr-category = {H.2.5 Heterogeneous Databases},
contact = {Uwe.Heinkel@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In these days, enterprises are more and more confronted to fast changing and
turbulent markets. In order to remain competitive, they have to quickly adapt
themselves to these new situations. The integration solutions employed in such
an environment enable the required agility, by using a loose and flexible
integration architecture. We propose an integration solution based on the
concept of propagating data changes from one information system to the affected
information systems. This paper focuses on the question: how data from other
data services can be accessed and exploited to enhance a data change
propagation system. These services are based on a service-oriented architecture
(SOA) using XML technologies (e.g. SOAP). We developed the Data Service
Description Language (DSDL) to define the data structures of the data service.
This description is used to create the above mentioned Transformation Scripts
as well as to generate requests for accessing remote data. A layered system
approach is introduced to facilitate both the architecture and its
implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-84&engl=1}
}
@inproceedings {INPROC-2005-57,
author = {Christoph Mangold and Holger Schwarz and Bernhard Mitschang},
title = {{Improving Intranet Search Engines Using Context Information from Databases}},
booktitle = {Proceedings of the 14th ACM International Conference on Information and Knowledge Management (CIKM 2005), Bremen, Germany, October 31 - November 5, 2005},
editor = {A. Chowdhury and N. Fuhr and M. Ronthaler and H.-J. Schek and W. Teiken},
publisher = {ACM Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {349--350},
type = {Conference Paper},
month = {October},
year = {2005},
isbn = {1-59593-140-6},
language = {English},
cr-category = {H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2005-57/INPROC-2005-57.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Information in enterprises comes in documents and databases. From a semantic
viewpoint, both kinds of information are usually tightly connected. In this
paper, we propose to enhance common search-engines with contextual information
retrieved from databases. We establish system requirements and anecdotally
demonstrate how documents and database information can be represented as the
nodes of a graph. Then, we give an example how we exploit this graph
information for document retrieval.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-57&engl=1}
}
@inproceedings {INPROC-2005-33,
author = {Carmen Constantinescu and Uwe Heinkel and Jan Le Blond and Stephan Schreiber and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{Flexible Integration of Layout Planning and Adaptive Assembly Systems in Digital Enterprises}},
booktitle = {Proceedings of the 38th CIRP International Seiminar on Manufacturing Systems (CIRP ISMS)},
publisher = {CIRP},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {10--18},
type = {Conference Paper},
month = {May},
year = {2005},
language = {German},
cr-category = {J.6 Computer-Aided Engineering,
C.2.4 Distributed Systems},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2005-33/INPROC-2005-33.pdf},
contact = {Uwe.Heinkel@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The agility and adaptability of an enterprise becomes more and more a desired
feature and a key factor of success. Especially manufacturing enterprises have
to be able to respond quickly to both external and internal changes. This
includes the ability to plan the optimal factory configuration and the assembly
processes with little effort in short time. The tools of the Digital Factory
support manufacturing enterprises shortening planning time and increasing
planning quality. As a motivation of our work in the field of Enterprise
Application Integration, a scenario is described, which reveals how a
transformable manufacturing enterprise reacts to market changes with the
support of digital tools. Motivated by our scenario we developed an integration
solution called Stuttgart Integration Platform. A main role in our approach
plays a solution for the Digital Factory, which stores all needed information
about the planned facility layouts and assembly processes. The paper presents
our central integration solution Champagne, and three integrated systems: the
Digital Factory Solution, the Factory Planning Table and the Assembly
Configuration Tool.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-33&engl=1}
}
@inproceedings {INPROC-2005-17,
author = {Rodrigo Salvador Monteiro and Geraldo Zimbrao and Holger Schwarz and Bernhard Mitschang and Jano Moreira De Souza},
title = {{Building the Data Warehouse of Frequent Itemsets in the DWFIST Approach}},
booktitle = {Proceedings of the 15th International Symposium on Methodologies for Intelligent Systems Saratoga Springs, New York - May 25-28, 2005},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--9},
type = {Conference Paper},
month = {May},
year = {2005},
isbn = {3-540-25878-7},
language = {English},
cr-category = {H.2.7 Database Administration,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Some data mining tasks can produce such great amounts of data that we have to
cope with a new knowledge management problem. Frequent itemset mining fits in
this category. Different approaches were proposed to handle or avoid somehow
this problem. All of them have problems and limitations. In particular, most of
them need the original data during the analysis phase, which is not feasible
for data streams. The DWFIST (Data Warehouse of Frequent ItemSets Tactics)
approach aims at providing a powerful environment for the analysis of itemsets
and derived patterns, such as association rules, without accessing the original
data during the analysis phase. This approach is based on a Data Warehouse of
Frequent Itemsets. It provides frequent itemsets in a flexible and efficient
way as well as a standardized logical view upon which analytical tools can be
developed. This paper presents how such a data warehouse can be built.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-17&engl=1}
}
@inproceedings {INPROC-2005-111,
author = {Albert Maier and Bernhard Mitschang and Frank Leymann and Wolfson Dan},
title = {{On Combining Business Process Integration and ETL Technologies}},
booktitle = {Datenbanksysteme in Business, Technologie und Web (BTW'05)},
editor = {Gesellschaft f{\"u}r Informatik},
publisher = {K{\"o}llen},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {533--546},
type = {Conference Paper},
month = {March},
year = {2005},
isbn = {3-88579-394-6},
language = {English},
cr-category = {H.2.8 Database Applications,
H.3.3 Information Search and Retrieval},
ee = {http://btw2005.aifb.uni-karlsruhe.de/},
department = {University of Stuttgart, Institute of Architecture of Application Systems, Architecture of Application Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {On Combining Business Provess Integration and ETL Technologies},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-111&engl=1}
}
@inproceedings {INPROC-2005-110,
author = {Cataldo Mega and Frank Wagner and Bernhard Mitschang},
title = {{From Content Management to Enterprise Content Management}},
booktitle = {Datenbanksysteme in Business, Technologie und Web},
editor = {Gesellschaft f{\"u}r Informatik},
publisher = {K{\"o}llen},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {596--613},
type = {Conference Paper},
month = {March},
year = {2005},
isbn = {3-88579-394-6},
language = {English},
cr-category = {H.2.8 Database Applications,
H.3.3 Information Search and Retrieval},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper we will provide a step-by-step description on what it means to
evolve the architecture of a traditional content management system into an
Enterprise Content Management (ECMS) system, explain the differences of both
systems and motivate that this transformation is necessary. By analyzing
business scenarios in the realm of different content management domains, we
will explain why today’s content management systems struggle when it comes to
satisfy the need for performance, scalability and business resilience. Using
the system design of IBM DB2 Content Manager as reference point we will outline
and discuss some of the new key technical challenges found when promoting
ondemand ECM services and look at their affordability. By detailing a few
representative use cases we will perform a problem analysis, and an attempt
will be made to present an enhanced ECM system design that makes use of a
component ‚virtualization’ approach in order to allow for a dynamic services
infrastructure to be setup and which capitalizes on proven peer-peer and grid
technology.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-110&engl=1}
}
@inproceedings {INPROC-2005-06,
author = {Mih{\'a}ly Jakob and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{DCbot: Finding Spatial Information on the Web}},
booktitle = {Proceedings of the 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005)},
address = {Beijing},
publisher = {??},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
type = {Conference Paper},
month = {April},
year = {2005},
language = {German},
cr-category = {H.2.8 Database Applications,
H.3.3 Information Search and Retrieval,
H.5.4 Hypertext/Hypermedia},
ee = {http://www.nexus.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The WWW provides an overwhelming amount of information, which spatially indexed
can be a valuable additional data source for location- based applications. By
manually building a spatial index, only a fraction of the available resources
can be covered. This paper introduces a system for the automatic mapping of web
pages to geographical locations. Our web robot uses several sets of domain
specific keywords, lexical context rules, that are automatically learned, and a
hierarchical catalogue of geographical locations that provides exact
geographical coordinates for locations. Spatially indexed web pages are used to
construct Geographical Web Portals, which can be accessed by different
location-based applications. In addition, we present experimental results
demonstrating the quantity and the quality of automatically indexed web pages.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2005-06&engl=1}
}
@inproceedings {INPROC-2004-42,
author = {Thomas Schwarz and Markus Iofcea and Matthias Grossmann and Nicola H{\"o}nle and Daniela Nicklas and Bernhard Mitschang},
title = {{On Efficiently Processing Nearest Neighbor Queries in a Loosely Coupled Set of Data Sources}},
booktitle = {Proceedings of the 12th ACM International Symposium on Advances in Geographic Information System (ACM GIS 004), Washington D.C., November 12-13, 2004},
editor = {ACM},
publisher = {?},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
type = {Conference Paper},
month = {November},
year = {2004},
keywords = {Data integration, distributed query processing, federated database system, kNN, nearest neighbors, parallel query processing},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.2.8 Database Applications,
H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2004-42/INPROC-2004-42.pdf},
contact = {thomas.schwarz@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {We propose a family of algorithms for processing nearest neighbor (NN) queries
in an integration middleware that provides federated access to numerous loosely
coupled, autonomous data sources connected through the internet. Previous
approaches for parallel and distributed NN queries considered all data sources
as relevant, or determined the relevant ones in a single step by exploiting
additional knowledge on object counts per data source. We propose a different
approach that does not require such detailed statistics about the distribution
of the data. It iteratively enlarges and shrinks the set of relevant data
sources. Our experiments show that this yields considerable performance
benefits with regard to both response time and effort. Additionally, we propose
to use only moderate parallelism instead of querying all relevant data sources
at the same time. This allows us to trade a slightly increased response time
for a lot less effort, hence maximizing the cost profit ratio, as we show in
our experiments. Thus, the proposed algorithms clearly extend the set of NN
algorithms known so far.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2004-42&engl=1}
}
@inproceedings {INPROC-2004-41,
author = {Daniela Nicklas and Nicola H{\"o}nle and Michael Moltenbrey and Bernhard Mitschang},
title = {{Design and Implementation Issues for Explorative Location-based Applications: the NexusRallye}},
booktitle = {Proceedings for the VI Brazilian Symposium on GeoInformatics: GeoInfo 2004; November 22-24, 2004},
editor = {Gilberto Camara Cirano Iochpe},
address = {Sao Jose dos Campos},
publisher = {INPE},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {167--181},
type = {Conference Paper},
month = {November},
year = {2004},
isbn = {3-901882-20-0},
keywords = {location-based services, context-awareness, mobile applications},
language = {German},
cr-category = {H.2.8 Database Applications,
H.5.3 Group and Organization Interfaces},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2004-41/INPROC-2004-41.pdf,
http://www.nexus.uni-stuttgart.de},
contact = {danickla@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Explorative Location-based Applications (eLBA) define a new class of
applications that rely on both positioning (i.e. location information) and
georeferenced information in addition to a flexible and efficient system
infrastructure that supports a mobile and ubiquitous usage. In this paper we
define first a modeling framework to design eLBAs that builds on the concept of
tasks as a very valuable system/user interaction and application structuring
concept. In addition, we report on a system framework, the Nexus platform, that
efficiently provides access to georeferenced information and positioning
information. Our sample application, the NexusRallye, is used to exemplify
important aspects of our solution platform and to show its advantages as
compared to other approaches.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2004-41&engl=1}
}
@inproceedings {INPROC-2004-40,
author = {Thomas Schwarz and Nicola H{\"o}nle and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{Efficient Domain-Specific Information Integration in Nexus}},
booktitle = {Proceedings of the 2004 VLDB Workshop on Information Integration on the Web : IIWeb-2004 ; Toronto, Canada, August 30, 2004},
editor = {Hasan Davulcu and Nick Kushmerick},
publisher = {online},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {122--127},
type = {Conference Paper},
month = {August},
year = {2004},
keywords = {Nexus; information integration; domain-specific},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software,
H.3.3 Information Search and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2004-40/INPROC-2004-40.pdf,
http://cips.eas.asu.edu/iiwebfinalproceedings/52.pdf,
http://cips.eas.asu.edu/iiweb-proceedings.html},
contact = {thomas.schwarz@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper, we present the Nexus approach to efficient domain-specific
integration of many loosely coupled data sources. A so called information
maximizing mediation middleware (IMMM) has to cope with large data volumes and
many queries, and at the same time achieve a tight semantic integration for the
data instances. For efficiency and practicability reasons, we propose to use an
extensible global schema and a limited domain-specific query language. This
facilitates employing domain-specific semantic knowledge in the middleware:
detect duplicates, merge multiple representations, aggregate and generalize
information. Finally, we present a working prototype tailored to the domain of
context-aware applications.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2004-40&engl=1}
}
@inproceedings {INPROC-2003-40,
author = {Christoph Mangold and Bernhard Mitschang},
title = {{Enabling a Reuse Oriented Engineering Methodology}},
booktitle = {Proceedings of the Second IASTED International Conference on Information and Knowledge Sharing},
editor = {Wesley Chu},
address = {Anaheim, Calgary, Zurich},
publisher = {ACTA Press},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {6--11},
type = {Conference Paper},
month = {November},
year = {2003},
isbn = {0-88986-396-2},
keywords = {Engineering Methodology; Reuse; Representation; Knowledge Engineering and Management},
language = {English},
cr-category = {H.1.1 Systems and Information Theory,
H.1.2 User/Machine Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In the domain of machine engineering the reuse of design data is an important
but complex instrument to improve quality and shorten development time. The
successful reuse of design data requires both, a machine engineering specific
methodology and the support by appropriate information system technology. In
this paper we introduce a machine engineering methodology that is based on
several reuse stages. Our approach to support the methodology with an
appropriate information system uses a simple graph based information model
where reuse stages are re- flected as layers. We also show how reuse is
represented in the model.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-40&engl=1}
}
@inproceedings {INPROC-2003-27,
author = {Marcello Mariucci and Bernhard Mitschang},
title = {{Extending Web Service Technology towards an Earth Observation Integration Framework}},
booktitle = {Proceedings of the Forum Session at the First International Conference on Service Oriented Computing: ICSOC03; Trento, Italy, Dec. 15-18, 2003},
editor = {Marco Aiello and Chris Bussler and Vincenzo D'Andrea and Jian. Yang},
address = {Trento},
publisher = {University of Trento},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {Technical Report, Information and Communication Technology, University of Trento},
volume = {DIT-03-056},
pages = {117--128},
type = {Conference Paper},
month = {November},
year = {2003},
keywords = {Earth Observation; Framework; Web Services; Repository; Workflow Management},
language = {English},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.6 Software Engineering Programming Environments,
D.2.9 Software Engineering Management,
D.2.10 Software Engineering Design,
D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software,
H.3.4 Information Storage and Retrieval Systems and Software,
H.4 Information Systems Applications},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2003-27/INPROC-2003-27.pdf,
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2003-27/INPROC-2003-27.ps},
contact = {mariucci@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper we describe the implementation of a service-based application
integration solution for the complex domain of Earth Observation (EO)
application systems. The presented approach is based on an EO integration
framework. It supports the concatenation of disparate software applications to
flexible EO process chains. Resulting EO services are provided to end users by
means of Web Service technology. We demonstrate that current standard
technology is not sufficient to dynamically publish and interactively invoke EO
services over the Web. We describe necessary extensions and adaptations.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-27&engl=1}
}
@inproceedings {INPROC-2003-22,
author = {Marcello Mariucci and Clemens Dorda and Bernhard Mitschang},
title = {{Design and Implementation of a Model-driven Earth Observation Integration Framework}},
booktitle = {Proceedings of the Fifth International Conference on Information Integration and Web-based Applications \& Services: iiWAS '03; Jakarta, Indonesia, September 15-17, 2003. Vol. 170},
editor = {Gabriele Kotsis and Stephane Bressan and Barbara Catania and Ismail Khalil Ibrahim},
publisher = {Oesterreichische Computer Gesellschaft},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {215--225},
type = {Conference Paper},
month = {September},
year = {2003},
isbn = {3-85403-170-10},
keywords = {Model-driven Architecture, Process-oriented Application Integration, Model-driven Integration Process, Repository System},
language = {English},
cr-category = {H.3.5 Online Information Services,
J.2 Physical Sciences and Engineering,
D.2.2 Software Engineering Design Tools and Techniques},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2003-22/INPROC-2003-22.pdf,
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2003-22/INPROC-2003-22.ps},
contact = {For more information please contact mariucci@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {An Earth Observation (EO) integration framework is an application integration
solution for supporting the development and execution of EO services. EO
services are based on the intensive use of large data sets from space, and
require the tight cooperation of several distributed experts. They can be
characterized as highly flexible structures, which constantly need to be
adapted to evolving spacecraft and processing technologies. In this paper we
introduce a model-driven approach for an EO integration framework. We describe
a comprehensive integration model that adequately copes with the flexible
development, customization, and execution of EO services. The accurate
treatment of related model instances throughout the software life cycle
significantly enhances the EO service development process in terms of quality,
reuse, and adaptability. We discuss technological aspects for the realization
of such an integration framework, and outline our prototype implementation that
is mainly built upon commercial products. We demonstrate that such a
model-driven approach can be realized by employing repository technology for
managing model related issues, as well as workflow and Web service technology
for execution purposes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-22&engl=1}
}
@inproceedings {INPROC-2003-17,
author = {Kurt Rothermel and Dieter Fritsch and Bernhard Mitschang and Paul J. K{\"u}hn and Martin Bauer and Christian Becker and Christian Hauser and Daniela Nicklas and Steffen Volz},
title = {{SFB 627: Umgebungsmodelle f{\"u}r mobile kontextbezogene Systeme}},
booktitle = {Proceedings Informatik 2003},
address = {Frankfurt},
publisher = {Gesellschaft f{\"u}r Informatik},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
type = {Conference Paper},
month = {September},
year = {2003},
keywords = {Umgebungsmodelle; kontext-bezogene Systeme; Nexus; Spatial World Models; context-aware systems},
language = {German},
cr-category = {C.2.4 Distributed Systems,
H.2.4 Database Management Systems,
H.2.8 Database Applications,
H.3.4 Information Storage and Retrieval Systems and Software},
ee = {http://www.nexus.uni-stuttgart.de},
contact = {Kurt.Rothermel@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
Universit{\"a}t Stuttgart, Institut f{\"u}r Kommunikationsnetze und Rechnersysteme (IKR);
Universit{\"a}t Stuttgart, Institut f{\"u}r Photogrammetrie (ifp)},
abstract = {Ziel des Sonderforschungsbereichs 627 ``Umgebungsmodelle f{\"u}r mobile
kontextbezogene Systeme'' ist die Erforschung von Methoden und Verfahren f{\"u}r die
Definition, die Verwaltung und die Nutzung von digitalen Umgebungsmodellen.
Existierende Informationsr{\"a}ume werden mit komplexen Modellen der realen Welt
verschr{\"a}nkt und erlauben so neuartige Anwendungen. Insbesondere die Klasse der
ortsbezogenen Anwendungen und aktuelle Forschungsgebiete wie das Ubiquitous
Computing k{\"o}nnen von solchen Umgebungsmodellen profitieren, oder werden durch
sie erst erm{\"o}glicht.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-17&engl=1}
}
@inproceedings {INPROC-2003-04,
author = {Tobias Kraft and Holger Schwarz and Ralf Rantzau and Bernhard Mitschang},
title = {{Coarse-Grained Optimization: Techniques for Rewriting SQL Statement Sequences}},
booktitle = {Proceedings of 29th International Conference on Very Large Data Bases (VLDB 2003), Berlin, September 9-12, 2003},
publisher = {Morgan Kaufmann},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {488--499},
type = {Conference Paper},
month = {September},
year = {2003},
isbn = {0-12-722442-4},
keywords = {SQL; Query Optimization; OLAP},
language = {English},
cr-category = {H.2.4 Database Management Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Relational OLAP tools and other database applications generate sequences of SQL
statements that are sent to the database server as result of a single
information request provided by a user. Unfortunately, these sequences cannot
be processed efficiently by current database systems because they typically
optimize and process each statement in isolation. We propose a practical
approach for this optimization problem, called ``coarse-grained optimization,''
complementing the conventional query optimization phase. This new approach
exploits the fact that statements of a sequence are correlated since they
belong to the same information request. A lightweight heuristic optimizer
modifies a given statement sequence using a small set of rewrite rules. Since
the optimizer is part of a separate system layer, it is independent of but can
be tuned to a specific underlying database system. We discuss implementation
details and demonstrate that our approach leads to significant performance
improvements.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-04&engl=1}
}
@inproceedings {INPROC-2003-03,
author = {Bernhard Mitschang and Engelbert Westk{\"a}mper and Carmen Constantinescu and Uwe Heinkel and Benno L{\"o}ffler and Ralf Rantzau and Ralph Winkler},
title = {{Divide et Impera: A Flexible Integration of Layout Planning and Logistics Simulation through Data Change Propagation}},
booktitle = {Proceedings of the 36th CIRP International Seminar on Manufacturing Systems (CIRP ISMS 2003), June 03-05, 2003 Saarland University, Saarbr{\"u}cken, Germany},
editor = {C. Weber and H. Bley and G. Hirt},
address = {Saarbr{\"u}cken, Germany},
publisher = {Saarland University},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {411--418},
type = {Conference Paper},
month = {June},
year = {2003},
isbn = {3-930429-58-6},
keywords = {integration of information systems; XML technologies; facility layout planning; logistics simulation},
language = {English},
cr-category = {H.2.5 Heterogeneous Databases,
J.6 Computer-Aided Engineering},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2003-03/INPROC-2003-03.pdf},
contact = {Uwe.Heinkel@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {The turbulent markets lead to new challenges for today’s enterprises, they have
to be transformable to stay competitive. Therefore, we developed a new approach
that integrates Logistic Simulation and Layout Planning to fulfil the goal of
improving the production system. Our approach is based on propagation and
transformation of data changes concerning the continuous adaptation tasks among
the Layout Planning and Logistics Simulation systems. Instead of relying on a
tightly integrated global data schema, we connect systems only as far as
required by building “bridges” between them. The systems that participate in
the integration are kept autonomous. We use several state-of-the-art XML
technologies in our integration system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-03&engl=1}
}
@inproceedings {INPROC-2003-01,
author = {Christoph Mangold and Ralf Rantzau and Bernhard Mitschang},
title = {{F{\"o}deral: Management of Engineering Data Using a Semistructured Data Model}},
booktitle = {Proceedings of the International Conference on Enterprise Information Systems (ICEIS), Angers, France, April 2003},
publisher = {Unknown},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
type = {Conference Paper},
month = {April},
year = {2003},
isbn = {972-98816-1-8},
keywords = {product data management, semistructured data, integration, data modeling},
language = {English},
cr-category = {H.2 Database Management},
contact = {christoph.mangold@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {The F{\"o}deral system is a flexible repository for the management, integration and
modeling of product data. Current systems in this domain employ object-oriented
data models. Whereas this is adequate for the management of product data, it
proves insufficient for integration and modeling. Present semistructured data
models, however, are suited ideally for integration, but data management and
also modeling is a problem. In this paper we describe our approach to narrow
down the gap between structured and semistructured data models. We present the
F{\"o}deral information system which employs a new semistructured data model and
show how this model can be employed in the context of management, integration,
and modeling of engineering data.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2003-01&engl=1}
}
@inproceedings {INPROC-2002-42,
author = {Bernhard Mitschang},
title = {{A Necessity for CSCW in Design - The CHAMPAGNE Approach and Experience (invited)}},
booktitle = {A Necessity for CSCW in Design - The CHAMPAGNE Approach and Experience},
editor = {Uni Rio de Janiero},
address = {Rio de Janiero},
publisher = {The Seventh International Conference on Computer Supported Cooperative Work in Design},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {1--2},
type = {Conference Paper},
month = {September},
year = {2002},
language = {English},
cr-category = {H.2.4 Database Management Systems},
contact = {Bernhard Mitschang Bernhard.Mitschang@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data Propagation: A Necessity for CSCW in Design - The CHAMPAGNE Approach and
Experience (invited), in: The Seventh International Conference on Computer
Supported Cooperative Work in Design, Rio de Janeiro, Brasil, 2002.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2002-42&engl=1}
}
@inproceedings {INPROC-2002-41,
author = {Aiko Frank and Bernhard Mitschang},
title = {{A customizable shared information space to support concurrent design}},
booktitle = {Computer in Industry},
address = {Amsterdam},
publisher = {Elsevier Science Publishers B. V.},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
volume = {48},
pages = {45--57},
type = {Conference Paper},
month = {May},
year = {2002},
language = {English},
cr-category = {H.5.3 Group and Organization Interfaces},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Sharing data is an important aspect in distributed design environments and
should be supported by an underlying system. Any synchronous access to data is
conflict prone. Applying concurrency control and two phase commit are one
option to be considered. But design processes also demand for cooperation
between the designers. Negotiation about actions on the product under design
and the early exchange of preliminary results are crucial issues. Controlled
data access by itself does not fulfil all the needs for cooperation. We will
present a new approach that relies on a concept and system model which
integrates concurrent activities by a joint information space offering flexible
protocols for cooperation on the shared objects. We will describe the
customizability of the protocols to effectively support different cooperative
scenarios.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2002-41&engl=1}
}
@inproceedings {INPROC-2002-17,
author = {Marcello Mariucci and Bernhard Mitschang},
title = {{On Making RAMSES an Earth Observation Application Framework}},
booktitle = {Proceedings of the 2nd International Conference on Information Systems and Engineering: ISE 2002; San Diego, California, July 14-18, 2002},
editor = {Waleed W. Smari and Nordine Melab and Shu-Ching Chen},
address = {San Diego},
publisher = {The Society for Modeling and Simulation International (SCS)},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
series = {Simulation Series},
volume = {34 (2)},
pages = {67--72},
type = {Conference Paper},
month = {July},
year = {2002},
isbn = {1-56555-251-2},
keywords = {Frameworks for Information Technologies, Software Architectures for Information Systems, Component-Based Designs, Service-Based Approaches},
language = {English},
cr-category = {H.4.m Information Systems Applications Miscellaneous},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2002-17/INPROC-2002-17.pdf},
contact = {For further information, please send an email to mariucci@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {RAMSES is one of the first large-scale prototypes of an operational Earth
Observation (EO) application system. It implements a complex infrastructure for
the extensive support of a thematic EO application system, which focuses on the
detection and monitoring of oil spills. Since EO application systems are
usually built on top of a set of generic functions, this paper analyses and
assesses the RAMSES infrastructure in order to form a generic EO application
framework. This framework should mainly support the collaborative development
and customization of emerging EO application systems by maximizing the use of
already existing system facilities. Furthermore, it should support the flexible
extension and rapid reconfiguration of workflows as the business changes.
Results of our analyses show that the RAMSES infrastructure does not cover all
requirements of an EO application framework. We therefore introduce advanced
design concepts and propose a new framework architecture that structurally
controls the inherent complexity of the interdisciplinary domain of EO
application systems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2002-17&engl=1}
}
@inproceedings {INPROC-2002-03,
author = {Carmen Constantinescu and Uwe Heinkel and Ralf Rantzau and Bernhard Mitschang},
title = {{A System for Data Change Propagation in Heterogeneous Information Systems}},
booktitle = {Proceedings of the International Conference on Enterprise Information Systems (ICEIS), Volume I, Cuidad Real, Spain, April 2002},
publisher = {ICEIS Press/Escola Superior de Technologia de Setubal, Portugal},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {73--80},
type = {Conference Paper},
month = {April},
year = {2002},
keywords = {enterprise application integration; manufacturing; repository; propagation},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software},
ee = {http://www.iceis.org},
contact = {carmen.constantinescu@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, it is common that enterprises manage several mostly heterogeneous
information systems to supply their production and business processes with
data. There is a need to exchange data between the information systems while
preserving system autonomy. Hence, an integration approach that relies on a
single global en-terprise data schema is ruled out. This is also due to the
widespread usage of legacy systems. We propose a system, called Propagation
Manager, which manages dependencies between data objects stored in different
information systems. A script specifying complex data transformations and other
sophisticated activities, like the execution of external programs, is
associated with each dependency. For example, an object update in a source
system can trigger data transformations of the given source data for each
destination system that depends on the object. Our system is implemented using
current XML technologies. We present the archi-tecture and processing model of
our system and demonstrate the benefit of our approach by illustrating an
extensive example scenario.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2002-03&engl=1}
}
@inproceedings {INPROC-2002-01,
author = {Ralf Rantzau and Leonard Shapiro and Bernhard Mitschang and Quan Wang},
title = {{Universal Quantification in Relational Databases: A Classification of Data and Algorithms}},
booktitle = {Proceedings of the International Conference on Extending Database Technology (EDBT), Prague, Czech Republic, March 2002},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
series = {Lecture Notes in Computer Science},
volume = {2287},
pages = {445--463},
type = {Conference Paper},
month = {March},
year = {2002},
isbn = {3-540-43324-4},
keywords = {query processing; relational division; physical operators},
language = {English},
cr-category = {H.2.4 Database Management Systems},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2002-01/INPROC-2002-01.ps,
http://www.springer.de/comp/lncs/index.html},
contact = {rrantzau@acm.org},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Queries containing universal quantification are used in many applications,
including business intelligence applications. Several algorithms have been
proposed to implement universal quantification efficiently. These algorithms
are presented in an isolated manner in the research literature - typically, no
relationships are shown between them. Furthermore, each of these algorithms
claims to be superior to others, but in fact each algorithm has optimal
performance only for certain types of input data. In this paper, we present a
comprehensive survey of the structure and performance of algorithms for
universal quantification. We introduce a framework for classifying all possible
kinds of input data for universal quantification. Then we go on to identify the
most efficient algorithm for each such class. One of the input data classes has
not been covered so far. For this class, we propose several new algorithms. For
the first time, we are able to identify the optimal algorithm to use for any
given input dataset. These two classifications of input data and optimal
algorithms are important for query optimization. They allow a query optimizer
to make the best selection when optimizing at intermediate steps for the
quantification problem.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2002-01&engl=1}
}
@inproceedings {INPROC-2001-70,
author = {Albrecht Messner and Bernhard Mitschang},
title = {{Leistungsbewertung f{\"u}r Application Server Technologie: ein parametrisierbarer Benchmark-Ansatz am Beispiel des Brokat Twister Application Servers.}},
booktitle = {GI Jahrestagung (2) 2001. Bd. 2},
editor = {Gesellschaft f{\"u}r Informatik e.V.},
address = {Wien},
publisher = {Gesellschaft f{\"u}r Informatik e.V.},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {909--915},
type = {Conference Paper},
month = {September},
year = {2001},
isbn = {3-85403-157-2},
language = {German},
cr-category = {H.2.2 Database Management Physical Design},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {E-Commerce: Systemunterst{\"u}tzung f{\"u}r den Umgang mit Daten und Prozessen in
vernetzten Anwendungsumgebungen. Leistungsbewertung f{\"u}r Application Server
Technologie: ein parametrisierbarer Benchmark-Ansatz am Beispiel des Brokat
Twister Application Servers. 909-915},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-70&engl=1}
}
@inproceedings {INPROC-2001-44,
author = {Daniela Nicklas and Christoph Pfisterer and Bernhard Mitschang},
title = {{Towards Location-based Games}},
booktitle = {Proceedings of the International Conference on Applications and Development of Computer Games in the 21st Century: ADCOG 21; Hongkong Special Administrative Region, China, November 22-23 2001},
editor = {Alfred Loo Wai Sing and Wan Hak Man and Wong Wai and Cyril Tse Ning},
address = {Hong Kong},
publisher = {Division of Computer Studies, City University of Hong kong, Hong Kong SAR, China},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {61--67},
type = {Conference Paper},
month = {November},
year = {2001},
isbn = {924-442-199-4},
keywords = {Nexus; Location-based Services; Games; Augmented World Model; Nexus Applications},
language = {German},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.3.5 Online Information Services,
K.8 Personal Computing},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2001-44/INPROC-2001-44.pdf,
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2001-44/INPROC-2001-44.ps,
http://www.nexus.uni-stuttgart.de},
contact = {Daniela Nicklas danickla@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {In this paper we investigate the basic properties of location-based games. This
new type of game is made possible by the recent advances of mobile computing
hardware and infrastructure. Players act not by pressing buttons or moving
pawns on a board, but by moving around themselves in the real world. We present
a simple classification of location-based games, and show how these games can
be designed and implemented. With some adaptations, game concepts from existing
board and computer games can be mapped to make location-based games more
interesting and fun to play. Our methods are demonstrated with three actual
game examples. Further, common infrastructure requirements are deduced and we
show how the open platform developed by the neXus working group fulfills them.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-44&engl=1}
}
@inproceedings {INPROC-2001-43,
author = {Daniela Nicklas and Bernhard Mitschang},
title = {{The Nexus Augmented World Model: An Extensible Approach for Mobile, Spatially-Aware Applications}},
booktitle = {Proceedings of the 7th International Conference on Object-Oriented Information Systems : OOIS '01 ; Calgary, Canada, August 27-29, 2001},
editor = {Yingxu Wang and Shushma Patel and Ronald Johnston},
address = {London},
publisher = {Springer-Verlag},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
pages = {392--401},
type = {Conference Paper},
month = {January},
year = {2001},
isbn = {1-85233-546-7},
keywords = {Nexus; location-based services; location-aware; augmented world model},
language = {English},
cr-category = {H.2.1 Database Management Logical Design,
H.2.8 Database Applications,
H.3.5 Online Information Services},
ee = {http://www.nexus.uni-stuttgart.de/},
contact = {Daniela Nickals daniela.nicklas@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {How should the World Wide Web look like if it were for location-based
information? And how would mobile, spatially aware applications deal with such
a platform? In this paper we present the neXus Augmented World Model, an object
oriented data model which plays a major role in an open framework for both
providers of location-based information and new kinds of applications: the
neXus platform. We illustrate the usability of the model with several sample
applications and show the extensibility of this framework. At last we present a
stepwise approach for building spatially aware applications in this
environment.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-43&engl=1}
}
@inproceedings {INPROC-2001-41,
author = {Daniela Nicklas and Matthias Gro{\ss}mann and Thomas Schwarz and Steffen (ifp) Volz and Bernhard Mitschang},
title = {{A Model-Based, Open Architecture for Mobile, Spatially Aware Applications}},
booktitle = {Proceedings of the 7th International Symposium on Spatial and Temporal Databases: SSTD 2001; Redondo Beach, CA, USA, July 12-15, 2001},
editor = {Christian S. Jensen and Markus Schneider and Bernhard Seeger and Vassilis J. Tsotras},
address = {Berlin, Heidelberg, New York},
publisher = {Springer-Verlag},
institution = {University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems), Germany},
series = {Lecture Notes in Computer Science},
volume = {2121},
pages = {117--135},
type = {Conference Paper},
month = {July},
year = {2001},
isbn = {3-540-42301-X},
keywords = {Mobile Computing; Location-Aware Applications; Augmented World Model},
language = {English},
cr-category = {H.2.1 Database Management Logical Design,
H.3.4 Information Storage and Retrieval Systems and Software,
H.3.5 Online Information Services},
ee = {http://www.nexus.uni-stuttgart.de},
contact = {daniela.nicklas@informatik.uni-stuttgart.de, matthias.grossmann@informatik.uni-stuttgart.de, thomas.schwarz@informatik.uni-stuttgart.de, steffen.volz@ifp.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems;
Universit{\"a}t Stuttgart, Institut f{\"u}r Photogrammetrie (ifp)},
abstract = {With the emerging availability of small and portable devices that are able to
determine their position and to communicate wirelessly, mobile and spatially
aware applications become feasible. These applications rely on information that
is bound to locations. In this paper we present Nexus, a platform for such
applications, which is open for both new applications and new information
providers, similar to the World Wide Web. Distributed servers provide
location-based information, which is federated to an integrated view for the
applications. To achieve this goal, we present the concept of the Augmented
World Model, which is a common data model for location-based information. We
give an example to show how applications can use this platform.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-41&engl=1}
}
@inproceedings {INPROC-2001-40,
author = {Jochen R{\"u}tschlin and G{\"u}nter Sauter and J{\"u}rgen Sellentin and Klaudia Hergula and Bernhard Mitschang},
title = {{Komponenten-Middleware: Der n{\"a}chste Schritt zur Interoperabilit{\"a}t von IT-Systemen}},
booktitle = {Tagungsband der 9. GI-Fachtagung ``Datenbanksysteme in B{\"u}ro, Technik und Wissenschaft'' (BTW 2001), 7.-9. M{\"a}rz 2001, Oldenburg},
editor = {Andreas Heuer and Frank Leymann and Denny Priebe},
address = {Berlin, Heidelberg, New York},
publisher = {Springer-Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {322--331},
type = {Conference Paper},
month = {March},
year = {2001},
isbn = {3-540-41707-9},
language = {German},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software,
H.3.5 Online Information Services},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2001-40/INPROC-2001-40.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {In diesem Papier stellen wir eine erste Konzeption f{\"u}r eine komponentenbasierte
Middleware vor. Dabei verwenden wir neutrale Daten- und Beschreibungsmodelle,
um eine Abstraktion bzgl. bestehender Komponentenmodelle zu erlangen.
Kernpunkte in unserer Architektur sind die Komponentenschnittstellen, das auf
SOAP basierende Kommunikationsprotokoll und ein Corporate Repository.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-40&engl=1}
}
@inproceedings {INPROC-2001-39,
author = {Jochen R{\"u}tschlin and J{\"u}rgen Sellentin and Bernhard Mitschang},
title = {{Industrieller Einsatz von Application Server Technologie}},
booktitle = {Informatik 2001: Wirtschaft und Wissenschaft in der Network Economy – Visionen und Wirklichkeit. Tagungsband der GI/OCG-Jahrestagung, 25.-28. September 2001, Universit{\"a}t Wien.},
editor = {Kurt Bauknecht and Wilfried Brauer and Thomas M{\"u}ck},
publisher = {{\"O}sterreichische Computer Gesellschaft},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {916--921},
type = {Conference Paper},
month = {September},
year = {2001},
isbn = {3-85403-157-2},
keywords = {Enterprise Application Integration, EAI, Integrationsarchitektur, Middleware, Application Server, J2EE},
language = {German},
cr-category = {C.2.4 Distributed Systems,
D.2.11 Software Engineering Software Architectures,
D.2.12 Software Engineering Interoperability,
H.4.m Information Systems Applications Miscellaneous},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {In diesem Beitrag wollen wir anhand einer Integrationsarchitektur aus dem
EAI-Umfeld motivieren und aufzeigen, wie Application Server Technologie
sinnvoll bei der Zusammenf{\"u}hrung von Systemen in einer vernetzten Umgebung
eingesetzt werden kann. Dazu stellen wir erst unsere bisherige
Integrationsarchitektur vor und erl{\"a}utern an dieser einige Nachteile des
traditionellen Vorgehens. Ein Abschnitt {\"u}ber Application Server und die
J2EE-Bestrebungen leiten {\"u}ber zu einem Neuvorschlag der
Integrationsarchitektur, realisiert auf Basis eben dieser Application Server
Technologie.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-39&engl=1}
}
@inproceedings {INPROC-2001-37,
author = {Carmen Constantinescu and Uwe Heinkel and Ralf Rantzau and Bernhard Mitschang},
title = {{SIES - An Approach for a Federated Information System in Manufacturing}},
booktitle = {Proceedings of the International Symposium on Information Systems and Engineering (ISE); Las Vegas, Nevada, USA, June 2001},
publisher = {CSREA Press},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {269--275},
type = {Conference Paper},
month = {June},
year = {2001},
isbn = {1-892512-85-8},
keywords = {enterprise application integration; manufacturing; federation; repository; propagation},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software},
contact = {carmen.constantinescu@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Many problems encountered in providing enterprise-wide information are related
to the integration of databases and systems that have been independently
developed and also to the management of changes and transformations of data
from one database (or system) into another. A major requirement is to
accommodate heterogeneity and at the same time to preserve the autonomy of the
components. This paper presents our approach to a repository-driven federated
system based on a propagation mechanism. The Stuttgart Information and
Exploration System (SIES), is characterized by its main components: the
Federation Manager, the Propagation Manager and the Re-pository System.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-37&engl=1}
}
@inproceedings {INPROC-2001-33,
author = {Aiko Frank and Bernhard Mitschang},
title = {{On Sharing of Objects in Concurrent Design}},
booktitle = {Proceedings of the 6th International Conference on CSCW in Design (CSCWID), London, ON, Canada, July, 2001},
editor = {Weiming Shen and Zongkai Lin and Jean-Paul Barth{\`e}s and Mohamed Kamel},
address = {Ottawa, Canada},
publisher = {NRC Research Press},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {71--76},
type = {Conference Paper},
month = {July},
year = {2001},
isbn = {0-660-18493-1},
keywords = {Designflow; CSCW; data sharing; agent protocols},
language = {English},
cr-category = {H.4.1 Office Automation,
H.5.3 Group and Organization Interfaces,
J.6 Computer-Aided Engineering},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2001-33/INPROC-2001-33.pdf},
contact = {frankao@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Sharing data is an important aspect in distributed design environments and
should be supported by an underlying system. Any synchronous access to data is
conflict prone. Applying concurrency control and two phase commit are an option
to be considered. But design processes also demand cooperation between the
designers. Negotiation about actions on the product under design and the early
exchange of preliminary results are crucial issues. Controlled data access by
itself doesn’t fullfil all the needs for cooperation. We will present a new
approach that relies on a concept and system model which integrates concurrent
activities by a common information space offering flexible protocols for
cooperation on the shared objects. We will describe the customizability of the
protocols to allow the approach to be adapted to different cooperative
scenarios.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-33&engl=1}
}
@inproceedings {INPROC-2001-32,
author = {Holger Schwarz and Ralf Wagner and Bernhard Mitschang},
title = {{Improving the Processing of Decision Support Queries: The Case for a DSS Optimizer}},
booktitle = {Proc. of the 2001 International Database Engineering \& Applications Symposium (IDEAS), July 16-18, 2001},
editor = {Michel Adiba and Christine Collet and Bipin C. Desai},
address = {Los Alamitos, Washington, Brussels, Tokyo},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {177--186},
type = {Conference Paper},
month = {July},
year = {2001},
isbn = {0-7695-1140-6},
keywords = {Decision Support; OLAP; Data Warehouse},
language = {English},
cr-category = {H.4.2 Information Systems Applications Types of Systems},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2001-32/INPROC-2001-32.pdf},
contact = {holger.schwarz@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Many decision support applications are built upon data mining and OLAP tools
and allow users to answer information requests based on a data warehouse that
is managed by a powerful DBMS. In this paper, we focus on tools that generate
sequences of SQL statements in order to produce the requested information. Our
thorough analysis revealed that many sequences of queries that are generated by
commercial tools are not very efficient. An optimized system architecture is
suggested for these applications. The main component is a DSS optimizer that
accepts previously generated sequences of queries and remodels them according
to a set of optimization strategies, before they are executed by the underlying
database system. The advantages of this extended architecture are discussed and
a couple of appropriate optimization strategies are identified. Experimental
results are given, showing that these strategies are appropriate to optimize
typical query sequences of an OLAP application.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2001-32&engl=1}
}
@inproceedings {INPROC-2000-01,
author = {Clara Nippl and Ralf Rantzau and Bernhard Mitschang},
title = {{StreamJoin: A Generic Database Approach to Support the Class of Stream-Oriented Applications}},
booktitle = {Proceedings of the International Database Engineering \& Applications Symposium (IDEAS); Yokohama, Japan, September 2000},
publisher = {IEEE Computer Society},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {83--91},
type = {Conference Paper},
month = {September},
year = {2000},
isbn = {0 7695 0789 1},
keywords = {database applications; data mining; database extensions; database operators},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.2.8 Database Applications},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2000-01/INPROC-2000-01.ps},
contact = {rrantzau@acm.org},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Today many applications routinely generate large quantities of data. The data
often takes the form of (time) series, or more generally streams, i.e. an
ordered se-quence of records. Analysis of this data requires stream processing
techniques which differ in significant ways from what current database analysis
and query tech-niques have been optimized for. In this paper we present a new
operator, called StreamJoin, that can efficiently be used to solve
stream-related problems of various appli-cations, such as universal
quantification, pattern recog-nition and data mining. Contrary to other
approaches, StreamJoin processing provides rapid response times, a non-blocking
execution as well as economical resource utilization. Adaptability to different
application scenarios is realized by means of parameters. In addition, the
StreamJoin operator can be efficiently embedded into the database engine, thus
implicitly using the optimization and parallelization capabilities for the
benefit of the ap-plication. The paper focuses on the applicability of
StreamJoin to integrate application semantics into the DBMS.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2000-01&engl=1}
}
@inproceedings {INPROC-1999-30,
author = {Hermann Ludwig M{\"o}ller and Marcello Mariucci and Bernhard Mitschang},
title = {{Architecture Considerations for Advanced Earth Observation Application Systems}},
booktitle = {Proceedings of the Second International Conference on Interoperating Geographic Information System: Interop '99; Zurich, Switzerland, March 10-12, 1999},
editor = {Andrej V{\`e}kovski and Brassel Kurt E. and Schek Hans-J{\"o}rg},
address = {Berlin, Heidelberg, New York, Barcelona, Hong Kong, London, Milan, Paris, Singapore},
publisher = {Springer-Verlag},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
series = {Lecture Notes in Computer Science},
volume = {1580},
pages = {75--90},
type = {Conference Paper},
month = {March},
year = {1999},
isbn = {3-540-65725-8},
keywords = {Distributed Information Systems; Earth Observation Systems; Applications; Interoperability; Middleware; CORBA},
language = {English},
cr-category = {H.2 Database Management,
H.4 Information Systems Applications,
J.2 Physical Sciences and Engineering,
E.1 Data Structures},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-1999-30/INPROC-1999-30.pdf,
ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-1999-30/INPROC-1999-30.ps},
contact = {Please send an email to mariucci@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Application systems in the earth observation area can be characterised as
distributed, platform-inhomogeneous, complex, and cost intensive information
systems. In order to manage the complexity and performance requirements set by
these application scenarios a number of architectural considerations have to be
applied. Among others the most important ones are modularization towards a
component architecture and interoperation within this component model. As will
be described in this paper, both are mandatory to achieving a high degree of
reusability and extensibility at the component level as well as to support the
necessary scalability properties. In our paper we refer to the state of the art
in earth observation application systems as well as to a prototype system that
reflects to a high degree the above mentioned system characteristics.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1999-30&engl=1}
}
@inproceedings {INPROC-1999-27,
author = {J{\"u}rgen Sellentin and Aiko Frank and Bernhard Mitschang},
title = {{TOGA -- A Customizable Service for Data-Centric Collaboration}},
booktitle = {Proceedings of the 11th Conference on Advanced Information Systems Engineering (CAiSE*99)},
editor = {Matthias Jarke and Andreas Oberweis},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
series = {Lecture Notes in Computer Science},
volume = {1626},
pages = {301--316},
type = {Conference Paper},
month = {June},
year = {1999},
isbn = {3-540-66157-3},
language = {English},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {TOGA -- A Customizable Service for Data-Centric Collaboration.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1999-27&engl=1}
}
@inproceedings {INPROC-1999-25,
author = {Stefan Sarstedt and G{\"u}nter Sauter and J{\"u}rgen Sellentin and Bernhard Mitschang},
title = {{Integrationskonzepte f{\"u}r heterogene Anwendungssysteme bei DaimlerChrysler auf Basis internationaler Standards}},
booktitle = {Datenbanksysteme in B{\"u}ro, Technik und Wissenschaft, GI-Fachtagung BTW 99, Freiburg im Breisgau, 1.-3. M{\"a}rz 1999},
editor = {A. Buchmann},
address = {Berlin, Heidelberg, New York},
publisher = {Springer},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
series = {Informatik aktuell},
pages = {317--327},
type = {Conference Paper},
month = {March},
year = {1999},
isbn = {3-540-65606-5},
keywords = {Funktionsintegration; API-Integration; Heterogenit{\"a}t; STEP; CORBA},
language = {German},
cr-category = {H.2.5 Heterogeneous Databases},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-1999-25/INPROC-1999-25.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Aufbauend auf den Anforderungen von DaimlerChrysler und unter Verwendung der
Standards STEP und CORBA wird eine Architektur und Vorgehensweise f{\"u}r die
Integration von Daten und Funktionen heterogener Anwendndungssysteme
entwickelt. Die eingebrachten Systemkonzepte sowie die dadurch zu erwartende
Optimierung des Entwicklungsprozesses werden am Beispiel des Bereichs
PKW-Entwicklung diskutiert.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1999-25&engl=1}
}
@inproceedings {INPROC-1999-24,
author = {Michael Jaedicke and Bernhard Mitschang},
title = {{User-Defined Table Operators: Enhancing Extensibility for ORDBMS}},
booktitle = {VLDB'99, Proceedings of 25th International Conference on Very Large Data Bases, Edinburgh, Scotland, UK, September 7-10, 1999},
publisher = {Morgan Kaufmann},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {494--505},
type = {Conference Paper},
month = {May},
year = {1999},
isbn = {1-55860-615-7},
language = {English},
cr-category = {H.2.4 Database Management Systems},
ee = {http://www3.informatik.tu-muenchen.de/public/projekte/sfb342/publications/99.SFB-Bericht.Multiop.ps.gz},
contact = {Bernhard Mitschang mitsch@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Currently parallel object-relational database technology is setting the
direction for the future of data management. A central enhancement of
object-relational database technology is the possibility to execute arbitrary
user-defined functions within SQL statements. We show the limits of this
approach and propose user-defined table operators as a new concept that allows
the definition and implementation of arbitrary user-defined N-ary database
operators, which can be programmed using SQL or Embedded SQL (with some
extensions). Our approach leads to a new dimension of extensibility that allows
to push more application code into the server with full support for efficient
execution and parallel processing. Furthermore it allows performance
enhancements of orders of magnitude for the evaluation of many queries with
complex user-defined functions as we show for two concrete examples. Finally,
our implementation perception guarantees that this approach fits well into the
architectures of commercial object-relational database management systems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1999-24&engl=1}
}
@inproceedings {INPROC-1998-20,
author = {J{\"u}rgen Sellentin and Bernhard Mitschang},
title = {{Data Intensive Intra- \& Internet Applications - An Example Using Java and CORBA in the World Wide Web}},
booktitle = {Proceedings of the Fourteenth International Conference on Data Engineering, February 23-27, 1998, Orlando, Florida, USA},
publisher = {IEEE},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {302--311},
type = {Conference Paper},
month = {February},
year = {1998},
isbn = {0-8186-8289-2},
language = {English},
cr-category = {H.4 Information Systems Applications,
H.2.4 Database Management Systems,
H.2.5 Heterogeneous Databases},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Intra/Internet technology has become a key issue in the development of modern
systems. Nowadays it is not sufficient anymore to present static information
sheets through the WWW, instead we need interactive applications that may even
compute complex results or process large data sets. In this paper we describe a
prototype based on Java and CORBA. Both represent modern concepts that have
been developed to fulfill these requirements. Their combination results into
the kind of data processing we want to apply to the WWW: First, portable,
powerful, structured and even reusable client programs instead of cryptic HTML
scripts, second, well defined interfaces, and third, efficient server processes
separated from the WWW server and its CGI extensions. Communication is
controlled by a fault tolerant CORBA layer, which also enables server
development using a different language than Java. Besides a discussion of CORBA
and its data shipping capabilities, we take a closer look at Java and its
runtime behavior, and we report on the experiences gathered with our prototype
system and its testbed application. This system has also been used to gather
experiences with and to influence the new language binding of the Standard Data
Access Interface (SDAI) of the Standard for the Exchange of Product Data (STEP,
ISO 10303) to Java.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1998-20&engl=1}
}
@inproceedings {INPROC-1998-19,
author = {Clara Nippl and Bernhard Mitschang},
title = {{TOPAZ: a Cost-Based, Rule-Driven, Multi-Phase Parallelizer}},
booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very Large Data Bases, New York City, New York, USA, August 24-27, 1998},
publisher = {Morgan Kaufmann},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {251--262},
type = {Conference Paper},
month = {August},
year = {1998},
isbn = {1-55860-566-5},
language = {English},
cr-category = {H.2.4 Database Management Systems},
contact = {Bernhard Mitschang mitsch@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Currently the key problems of query optimization are extensibility imposedby
object-relational technology, as well as query complexity caused by forthcoming
applications, such as OLAP. We propose a generic approach to parallelization,
called TOPAZ. Different forms of parallelism are exploited to obtain maximum
speedup combined with lowest resource consumption. The necessary abstractions
w.r.t. operator characteristics and system architecture are provided by rules
that are used by a cost-based, top-down search engine. A multi-phase pruning
based on a global analysis of the plan efficiently guides the search process,
thus considerably reducing complexity and achieving optimization performance.
Since TOPAZ solely relies on the widespread concepts of iterators and
datarivers common to (parallel) execution models, it fits as an enabling
technology into most state-of-the-art (object-) relational systems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1998-19&engl=1}
}
@inproceedings {INPROC-1998-18,
author = {Michael Jaedicke and Bernhard Mitschang},
title = {{On Parallel Processing of Aggregate and Scalar Functions in Object-Relational DBMS}},
booktitle = {Proceedings ACM SIGMOD International Conference on Management of Data, Seattle, Washington, USA, June 2-4, 1998},
publisher = {ACM Press},
institution = {University of Stuttgart, Faculty of Computer Science, Germany},
pages = {379--389},
type = {Conference Paper},
month = {June},
year = {1998},
isbn = {0-89791-995-5},
language = {English},
cr-category = {H.2.4 Database Management Systems},
contact = {Bernhard Mitschang mitsch@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays parallel object-relational DBMS are envisioned as the next great wave,
but there is still a lack of efficient implementation concepts for some parts
of the proposed functionality. Thus one of the current goals for parallel
object-relational DBMS is to move towards higher performance. In this paper we
develop a framework that allows to process user-defined functions with data
parallelism. We will describe the class of partitionable functions that can be
processed parallelly. We will also propose an extension which allows to speed
up the processing of another large class of functions by means of parallel
sorting. Functions that can be processed by means of our techniques are often
used in decision support queries on large data volumes, for example. Hence a
parallel execution is indispensable.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-1998-18&engl=1}
}
@article {ART-2024-01,
author = {Jan Schneider and Christoph Gr{\"o}ger and Arnold Lutsch and Holger Schwarz and Bernhard Mitschang},
title = {{The Lakehouse: State of the Art on Concepts and Technologies}},
journal = {SN Computer Science},
publisher = {Springer Nature},
volume = {5},
number = {5},
pages = {1--39},
type = {Article in Journal},
month = {April},
year = {2024},
issn = {2661-8907},
doi = {10.1007/s42979-024-02737-0},
keywords = {Data Lakehouse; Data Lake; Data Platform; Data Analytics},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software},
ee = {https://doi.org/10.1007/s42979-024-02737-0,
https://link.springer.com/content/pdf/10.1007/s42979-024-02737-0.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In the context of data analytics, so-called lakehouses refer to novel variants
of data platforms that attempt to combine characteristics of data warehouses
and data lakes. In this way, lakehouses promise to simplify enterprise
analytics architectures, which often suffer from high operational costs, slow
analytical processes and further shortcomings resulting from data replication.
However, different views and notions on the lakehouse paradigm exist, which are
commonly driven by individual technologies and varying analytical use cases.
Therefore, it remains unclear what challenges lakehouses address, how they can
be characterized and which technologies can be leveraged to implement them.
This paper addresses these issues by providing an extensive overview of
concepts and technologies that are related to the lakehouse paradigm and by
outlining lakehouses as a distinct architectural approach for data platforms.
Concepts and technologies from literature with regard to lakehouses are
discussed, based on which a conceptual foundation for lakehouses is
established. In addition, several popular technologies are evaluated regarding
their suitability for the building of lakehouses. All findings are supported
and demonstrated with the help of a representative analytics scenario. Typical
challenges of conventional data platforms are identified, a new, sharper
definition for lakehouses is proposed and technical requirements for lakehouses
are derived. As part of an evaluation, these requirements are applied to
several popular technologies, of which frameworks for data lakes turn out to be
particularly helpful for the construction of lakehouses. Our work provides an
overview of the state of the art and a conceptual foundation for the lakehouse
paradigm, which can support future research.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2024-01&engl=1}
}
@article {ART-2023-07,
author = {Rebecca Eichler and Christoph Gr{\"o}ger and Eva Hoos and Christoph Stach and Holger Schwarz and Bernhard Mitschang},
title = {{Introducing the enterprise data marketplace: a platform for democratizing company data}},
journal = {Journal of Big Data},
publisher = {Springer Nature},
volume = {10},
pages = {1--38},
type = {Article in Journal},
month = {November},
year = {2023},
issn = {2196-1115},
doi = {10.1186/s40537-023-00843-z},
keywords = {Data Catalog; Data Democratization; Data Market; Data Sharing; Enterprise Data Marketplace; Metadata Management},
language = {English},
cr-category = {E.m Data Miscellaneous,
H.3.7 Digital Libraries,
H.4.m Information Systems Applications Miscellaneous},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In this big data era, multitudes of data are generated and collected which
contain the potential to gain new insights, e.g., for enhancing business
models. To leverage this potential through, e.g., data science and analytics
projects, the data must be made available. In this context, data marketplaces
are used as platforms to facilitate the exchange and thus, the provisioning of
data and data-related services. Data marketplaces are mainly studied for the
exchange of data between organizations, i.e., as external data marketplaces.
Yet, the data collected within a company also has the potential to provide
valuable insights for this same company, for instance to optimize business
processes. Studies indicate, however, that a significant amount of data within
companies remains unused. In this sense, it is proposed to employ an Enterprise
Data Marketplace, a platform to democratize data within a company among its
employees. Specifics of the Enterprise Data Marketplace, how it can be
implemented or how it makes data available throughout a variety of systems like
data lakes has not been investigated in literature so far. Therefore, we
present the characteristics and requirements of this kind of marketplace. We
also distinguish it from other tools like data catalogs, provide a platform
architecture and highlight how it integrates with the company{\^a}€™s system
landscape. The presented concepts are demonstrated through an Enterprise Data
Marketplace prototype and an experiment reveals that this marketplace
significantly improves the data consumer workflows in terms of efficiency and
complexity. This paper is based on several interdisciplinary works combining
comprehensive research with practical experience from an industrial
perspective. We therefore present the Enterprise Data Marketplace as a distinct
marketplace type and provide the basis for establishing it within a company.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2023-07&engl=1}
}
@article {ART-2023-04,
author = {Alejandro Gabriel Villanueva Zacarias and Peter Reimann and Christian Weber and Bernhard Mitschang},
title = {{AssistML: An Approach to Manage, Recommend and Reuse ML Solutions}},
journal = {International Journal of Data Science and Analytics (JDSA)},
publisher = {Springer Nature},
type = {Article in Journal},
month = {July},
year = {2023},
keywords = {Meta-learning; Machine learning; AutoML; Metadata; Recommender systems},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The adoption of machine learning (ML) in organizations is characterized by the
use of multiple ML software components. When building ML systems out of these
software components, citizen data scientists face practical requirements which
go beyond the known challenges of ML, e.g., data engineering or parameter
optimization. They are expected to quickly identify ML system options that
strike a suitable trade-off across multiple performance criteria. These options
also need to be understandable for non-technical users. Addressing these
practical requirements represents a problem for citizen data scientists with
limited ML experience. This calls for a concept to help them identify suitable
ML software combinations. Related work, e.g., AutoML systems, are not
responsive enough or cannot balance different performance criteria. This paper
explains how AssistML, a novel concept to recommend ML solutions, i.e.,
software systems with ML models, can be used as an alternative for predictive
use cases. Our concept collects and preprocesses metadata of existing ML
solutions to quickly identify the ML solutions that can be reused in a new use
case. We implement AssistML and evaluate it with two exemplary use cases.
Results show that AssistML can recommend ML solutions in line with users{\^a}€™
performance preferences in seconds. Compared to AutoML, AssistML offers citizen
data scientists simpler, intuitively explained ML solutions in considerably
less time. Moreover, these solutions perform similarly or even better than
AutoML models.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2023-04&engl=1}
}
@article {ART-2023-03,
author = {Dennis Treder-Tschechlov and Manuel Fritz and Holger Schwarz and Bernhard Mitschang},
title = {{ML2DAC: Meta-Learning to Democratize AutoML for Clustering Analysis}},
journal = {Proceedings of the ACM on Management of Data (SIGMOD)},
publisher = {Association for Computing Machinery (ACM)},
volume = {1},
number = {2},
pages = {1--26},
type = {Article in Journal},
month = {June},
year = {2023},
doi = {10.1145/3589289},
language = {German},
cr-category = {I.5.3 Pattern Recognition Clustering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Analysts often struggle with the combined algorithm selection and
hyperparameter optimization problem, a.k.a. CASH problem in literature.
Typically, they execute several algorithms with varying hyperparameter settings
to find configurations that show valuable results. Efficiently finding these
configurations is a major challenge. In clustering analyses, analysts face the
additional challenge to select a cluster validity index that allows them to
evaluate clustering results in a purely unsupervised fashion. Many different
cluster validity indices exist and each one has its benefits depending on the
dataset characteristics. While experienced analysts might address these
challenges using their domain knowledge and experience, especially novice
analysts struggle with them. In this paper, we propose a new meta-learning
approach to address these challenges. Our approach uses knowledge from past
clustering evaluations to apply strategies that experienced analysts would
exploit. In particular, we use meta-learning to (a) select a suitable
clustering validity index, (b) efficiently select well-performing clustering
algorithm and hyperparameter configurations, and (c) reduce the search space to
suitable clustering algorithms. In the evaluation, we show that our approach
significantly outperforms state-of-the-art approaches regarding accuracy and
runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2023-03&engl=1}
}
@article {ART-2023-02,
author = {Vitali Hirsch and Peter Reimann and Dennis Treder-Tschechlov and Holger Schwarz and Bernhard Mitschang},
title = {{Exploiting Domain Knowledge to address Class Imbalance and a Heterogeneous Feature Space in Multi-Class Classification}},
journal = {International Journal on Very Large Data Bases (VLDB-Journal)},
publisher = {Springer},
type = {Article in Journal},
month = {February},
year = {2023},
keywords = {Classification; Domain knowledge; Multi-class Imbalance; Heterogeneous feature space},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Real-world data of multi-class classification tasks often show complex data
characteristics that lead to a reduced classification performance. Major
analytical challenges are a high degree of multi-class imbalance within data
and a heterogeneous feature space, which increases the number and complexity of
class patterns. Existing solutions to classification or data pre- processing
only address one of these two challenges in isolation. We propose a novel
classification approach that explicitly addresses both challenges of
multi-class imbalance and heterogeneous feature space together. As main
contribution, this approach exploits domain knowledge in terms of a taxonomy to
systematically prepare the training data. Based on an experimental evaluation
on both real-world data and several synthetically generated data sets, we show
that our approach outperforms any other classification technique in terms of
accuracy. Furthermore, it entails considerable practical benefits in real-world
use cases, e.g., it reduces rework required in the area of product quality
control.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2023-02&engl=1}
}
@article {ART-2022-08,
author = {Christoph Stach and Cl{\'e}mentine Gritti and Dennis Przytarski and Bernhard Mitschang},
title = {{Assessment and Treatment of Privacy Issues in Blockchain Systems}},
journal = {ACM SIGAPP Applied Computing Review},
publisher = {ACM},
volume = {22},
number = {3},
pages = {5--24},
type = {Article in Journal},
month = {September},
year = {2022},
issn = {1559-6915},
keywords = {blockchain; decentralized; immutable; tamper-proof; GDPR; privacy assessment; data purging; data authentication; permission control; privacy filters; privacy control environment},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
K.6.5 Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The ability to capture and quantify any aspect of daily life via sensors,
enabled by the Internet of Things (IoT), data have become one of the most
important resources of the 21st century. However, the high value of data also
renders data an appealing target for criminals. Two key protection goals when
dealing with data are therefore to maintain their permanent availability and to
ensure their integrity. Blockchain technology provides a means of data
protection that addresses both of these objectives. On that account,
blockchains are becoming increasingly popular for the management of critical
data. As blockchains are operated in a decentralized manner, they are not only
protected against failures, but it is also ensured that neither party has sole
control over the managed data. Furthermore, blockchains are immutable and
tamper-proof data stores, whereby data integrity is guaranteed. While these
properties are preferable from a data security perspective, they also pose a
threat to privacy and confidentiality, as data cannot be concealed, rectified,
or deleted once they are added to the blockchain.
In this paper, we therefore investigate which features of the blockchain pose
an inherent privacy threat when dealing with personal or confidential data. To
this end, we consider to what extent blockchains are in compliance with
applicable data protection laws, namely the European General Data Protection
Regulation (GDPR). Based on our identified key issues, we assess which concepts
and technical measures can be leveraged to address these issues in order to
create a privacy-by-design blockchain system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-08&engl=1}
}
@article {ART-2022-07,
author = {Christoph Stach and Cl{\'e}mentine Gritti and Julia Br{\"a}cker and Michael Behringer and Bernhard Mitschang},
title = {{Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects}},
journal = {Future Internet},
publisher = {MDPI},
volume = {14},
number = {11},
pages = {1--42},
type = {Article in Journal},
month = {October},
year = {2022},
issn = {1999-5903},
doi = {10.3390/fi14110302},
keywords = {smart service; privacy techniques; location-based services; health services; voice-controlled digital assistants; image analysis; food analysis; recommender systems; DNA sequence classification},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
K.6.5 Security and Protection},
ee = {https://www.mdpi.com/1999-5903/14/11/302/htm},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The present information age is characterized by an ever-increasing
digitalization. Smart devices quantify our entire lives. These collected data
provide the foundation for data-driven services called smart services. They are
able to adapt to a given context and thus tailor their functionalities to the
user's needs. It is therefore not surprising that their main resource, namely
data, is nowadays a valuable commodity that can also be traded. However, this
trend does not only have positive sides, as the gathered data reveal a lot of
information about various data subjects. To prevent uncontrolled insights into
private or confidential matters, data protection laws restrict the processing
of sensitive data. One key factor in this regard is user-friendly privacy
mechanisms. In this paper, we therefore assess current state-of-the-art privacy
mechanisms. To this end, we initially identify forms of data processing applied
by smart services. We then discuss privacy mechanisms suited for these use
cases. Our findings reveal that current state-of-the-art privacy mechanisms
provide good protection in principle, but there is no compelling
one-size-fits-all privacy approach. This leads to further questions regarding
the practicality of these mechanisms, which we present in the form of seven
thought-provoking propositions.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-07&engl=1}
}
@article {ART-2022-06,
author = {Christoph Stach and Michael Behringer and Julia Br{\"a}cker and Cl{\'e}mentine Gritti and Bernhard Mitschang},
title = {{SMARTEN — A Sample-Based Approach towards Privacy-Friendly Data Refinement}},
journal = {Journal of Cybersecurity and Privacy},
publisher = {MDPI},
volume = {2},
number = {3},
pages = {606--628},
type = {Article in Journal},
month = {August},
year = {2022},
issn = {2624-800X},
doi = {10.3390/jcp2030031},
keywords = {privacy; data refinement; data cleansing; data transformation; human-in-the-loop},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
K.6.5 Security and Protection},
ee = {https://www.mdpi.com/2624-800X/2/3/31/htm},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Two factors are crucial for the effective operation of modern-day smart
services: Initially, IoT-enabled technologies have to capture and combine huge
amounts of data on data subjects. Then, all these data have to be processed
exhaustively by means of techniques from the area of big data analytics. With
regard to the latter, thorough data refinement in terms of data cleansing and
data transformation is the decisive cornerstone. Studies show that data
refinement reaches its full potential only by involving domain experts in the
process. However, this means that these experts need full insight into the data
in order to be able to identify and resolve any issues therein, e.g., by
correcting or removing inaccurate, incorrect, or irrelevant data records. In
particular for sensitive data (e.g., private data or confidential data), this
poses a problem, since these data are thereby disclosed to third parties such
as domain experts. To this end, we introduce SMARTEN, a sample-based approach
towards privacy-friendly data refinement to smarten up big data analytics and
smart services. SMARTEN applies a revised data refinement process that fully
involves domain experts in data pre-processing but does not expose any
sensitive data to them or any other third-party. To achieve this, domain
experts obtain a representative sample of the entire data set that meets all
privacy policies and confidentiality guidelines. Based on this sample, domain
experts define data cleaning and transformation steps. Subsequently, these
steps are converted into executable data refinement rules and applied to the
entire data set. Domain experts can request further samples and define further
rules until the data quality required for the intended use case is reached.
Evaluation results confirm that our approach is effective in terms of both data
quality and data privacy.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-06&engl=1}
}
@article {ART-2022-01,
author = {Christoph Stach and Julia Br{\"a}cker and Rebecca Eichler and Corinna Giebler and Bernhard Mitschang},
title = {{Simplified Specification of Data Requirements for Demand-Actuated Big Data Refinement}},
journal = {Journal of Data Intelligence},
publisher = {Rinton Press},
volume = {3},
number = {3},
pages = {366--400},
type = {Article in Journal},
month = {August},
year = {2022},
issn = {2577-610X},
keywords = {data pre-processing; data transformation; knowledge modeling; ontology; data management; Data Lakes; zone model; food analysis},
language = {English},
cr-category = {H.2.7 Database Administration,
E.2 Data Storage Representations,
H.3.3 Information Search and Retrieval,
H.2.8 Database Applications},
contact = {Senden Sie eine E-Mail an christoph.stach@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data have become one of the most valuable resources in modern society. Due to
increasing digitalization and the growing prevalence of the Internet of Things,
it is possible to capture data on any aspect of today's life. Similar to
physical resources, data have to be refined before they can become a profitable
asset. However, such data preparation entails completely novel challenges: For
instance, data are not consumed when being processed, whereby the volume of
available data that needs to be managed increases steadily. Furthermore, the
data preparation has to be tailored to the intended use case in order to
achieve an optimal outcome. This, however, requires the knowledge of domain
experts. Since such experts are typically not IT experts, they need tools that
enable them to specify the data requirements of their use cases in a
user-friendly manner. The goal of this data preparation is to provide any
emerging use case with demand-actuated data.
With this in mind, we designed a tailorable data preparation zone for Data
Lakes called BARENTS. It provides a simplified method for domain experts to
specify how data must be pre-processed for their use cases, and these data
preparation steps are then applied automatically. The data requirements are
specified by means of an ontology-based method which is comprehensible to
non-IT experts. Data preparation and provisioning are realized
resource-efficient by implementing BARENTS as a dedicated zone for Data Lakes.
This way, BARENTS is seamlessly embeddable into established Big Data
infrastructures.
This article is an extended and revised version of the conference paper
``Demand-Driven Data Provisioning in Data Lakes: BARENTS - A Tailorable Data
Preparation Zone'' by Stach et al. In comparison to our original conference
paper, we take a more detailed look at related work in the paper at hand. The
emphasis of this extended and revised version, however, is on strategies to
improve the performance of BARENTS and enhance its functionality. To this end,
we discuss in-depth implementation details of our prototype and introduce a
novel recommender system in BARENTS that assists users in specifying data
preparation steps.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2022-01&engl=1}
}
@article {ART-2021-04,
author = {Dennis Przytarski and Christoph Stach and Cl{\'e}mentine Gritti and Bernhard Mitschang},
title = {{Query Processing in Blockchain Systems: Current State and Future Challenges}},
journal = {Future Internet},
editor = {Dino Giuli and Andrew Hudson-Smith and Luis Javier Garcia Villalba},
publisher = {MDPI},
volume = {14},
number = {1},
pages = {1--31},
type = {Article in Journal},
month = {December},
year = {2021},
issn = {1999-5903},
doi = {10.3390/fi14010001},
keywords = {blockchain systems; query processing; data models; data structures; block structures},
language = {English},
cr-category = {H.3.0 Information Storage and Retrieval General,
H.3.3 Information Search and Retrieval},
contact = {Senden Sie eine E-Mail an Dennis.Przytarski@ipvs.uni-stuttgart.de.},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {When, in 2008, Satoshi Nakamoto envisioned the first distributed database
management system that relied on cryptographically secured chain of blocks to
store data in an immutable and tamper-resistant manner, his primary use case
was the introduction of a digital currency. Owing to this use case, the
blockchain system was geared towards efficient storage of data, whereas the
processing of complex queries, such as provenance analyses of data history, is
out of focus. The increasing use of Internet of Things technologies and the
resulting digitization in many domains, however, have led to a plethora of
novel use cases for a secure digital ledger. For instance, in the healthcare
sector, blockchain systems are used for the secure storage and sharing of
electronic health records, while the food industry applies such systems to
enable a reliable food-chain traceability, e.g., to prove compliance with cold
chains. In these application domains, however, querying the current state is
not sufficient - comprehensive history queries are required instead. Due to
these altered usage modes involving more complex query types, it is
questionable whether today's blockchain systems are prepared for this type of
usage and whether such queries can be processed efficiently by them. In our
paper, we therefore investigate novel use cases for blockchain systems and
elicit their requirements towards a data store in terms of query capabilities.
We reflect the state of the art in terms of query support in blockchain systems
and assess whether it is capable of meeting the requirements of such more
sophisticated use cases. As a result, we identify future research challenges
with regard to query processing in blockchain systems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2021-04&engl=1}
}
@article {ART-2021-03,
author = {Rebecca Eichler and Corinna Giebler and Christoph Gr{\"o}ger and Holger Schwarz and Bernhard Mitschang},
title = {{Modeling metadata in data lakes—A generic model}},
journal = {Data \& Knowledge Engineering},
publisher = {Elsevier},
volume = {136},
pages = {1--17},
type = {Article in Journal},
month = {November},
year = {2021},
issn = {0169-023X},
doi = {10.1016/j.datak.2021.101931},
keywords = {Metadata management; Metadata model; Data lake; Data management; Data lake zones; Metadata classification},
language = {English},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Data contains important knowledge and has the potential to provide new
insights. Due to new technological developments such as the Internet of Things,
data is generated in increasing volumes. In order to deal with these data
volumes and extract the data{\^a}{\^a}‚¬{\^a}„¢s value new concepts such as the data lake
were created. The data lake is a data management platform designed to handle
data at scale for analytical purposes. To prevent a data lake from becoming
inoperable and turning into a data swamp, metadata management is needed. To
store and handle metadata, a generic metadata model is required that can
reflect metadata of any potential metadata management use case, e.g., data
versioning or data lineage. However, an evaluation of existent metadata models
yields that none so far are sufficiently generic as their design basis is not
suited. In this work, we use a different design approach to build HANDLE, a
generic metadata model for data lakes. The new metadata model supports the
acquisition of metadata on varying granular levels, any metadata
categorization, including the acquisition of both metadata that belongs to a
specific data element as well as metadata that applies to a broader range of
data. HANDLE supports the flexible integration of metadata and can reflect the
same metadata in various ways according to the intended utilization.
Furthermore, it is created for data lakes and therefore also supports data lake
characteristics like data lake zones. With these capabilities HANDLE enables
comprehensive metadata management in data lakes. HANDLE{\^a}{\^a}‚¬{\^a}„¢s feasibility is
shown through the application to an exemplary access-use-case and a
prototypical implementation. By comparing HANDLE with existing models we
demonstrate that it can provide the same information as the other models as
well as adding further capabilities needed for metadata management in data
lakes.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2021-03&engl=1}
}
@article {ART-2020-20,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Rebecca Eichler and Holger Schwarz and Bernhard Mitschang},
title = {{Data Lakes auf den Grund gegangen - Herausforderungen und Forschungsl{\"u}cken in der Industriepraxis}},
journal = {Datenbank Spektrum},
publisher = {Springer},
volume = {20},
pages = {57--69},
type = {Article in Journal},
month = {January},
year = {2020},
keywords = {Data Lakes; Analytics; Stand der Technik; Herausforderungen; Praxisbeispiel},
language = {German},
cr-category = {H.4 Information Systems Applications},
contact = {Senden Sie eine E-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Unternehmen stehen zunehmend vor der Herausforderung, gro{\ss}e, heterogene Daten
zu verwalten und den darin enthaltenen Wert zu extrahieren. In den letzten
Jahren kam darum der Data Lake als neuartiges Konzept auf, um diese komplexen
Daten zu verwalten und zu nutzen. Wollen Unternehmen allerdings einen solchen
Data Lake praktisch umsetzen, so sto{\ss}en sie auf vielf{\"a}ltige
Herausforderungen, wie beispielsweise Widerspr{\"u}che in der Definition oder
unscharfe und fehlende Konzepte. In diesem Beitrag werden konkrete Projekte
eines global agierenden Industrieunternehmens genutzt, um bestehende
Herausforderungen zu identifizieren und Anforderungen an Data Lakes
herzuleiten. Diese Anforderungen werden mit der verf{\"u}gbaren Literatur zum
Thema Data Lake sowie mit existierenden Ans{\"a}tzen aus der Forschung
abgeglichen. Die Gegen{\"u}berstellung zeigt, dass f{\"u}nf gro{\ss}e Forschungsl{\"u}cken
bestehen: 1. Unklare Datenmodellierungsmethoden, 2. Fehlende
Data-Lake-Referenzarchitektur, 3. Unvollst{\"a}ndiges Metadatenmanagementkonzept,
4. Unvollst{\"a}ndiges Data-Lake-Governance-Konzept, 5. Fehlende ganzheitliche
Realisierungsstrategie.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2020-20&engl=1}
}
@article {ART-2020-11,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Rebecca Eichler and Holger Schwarz and Bernhard Mitschang},
title = {{Data Lakes auf den Grund gegangen - Herausforderungen und Forschungsl{\"u}cken in der Industriepraxis}},
journal = {Datenbank Spektrum},
publisher = {Springer-Verlag},
volume = {20},
pages = {57--69},
type = {Article in Journal},
month = {January},
year = {2020},
keywords = {Data Lakes; Industryerfahrung},
language = {German},
cr-category = {H.2.1 Database Management Logical Design},
contact = {Senden Sie eine E-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Unternehmen stehen zunehmend vor der Herausforderung, gro{\ss}e, heterogene Daten
zu verwalten und den darin enthaltenen Wert zu extrahieren. In den letzten
Jahren kam darum der Data Lake als neuartiges Konzept auf, um diese komplexen
Daten zu verwalten und zu nutzen. Wollen Unternehmen allerdings einen solchen
Data Lake praktisch umsetzen, so sto{\ss}en sie auf vielf{\"a}ltige
Herausforderungen, wie beispielsweise Widerspr{\"u}che in der Definition oder
unscharfe und fehlende Konzepte. In diesem Beitrag werden konkrete Projekte
eines global agierenden Industrieunternehmens genutzt, um bestehende
Herausforderungen zu identifizieren und Anforderungen an Data Lakes
herzuleiten. Diese Anforderungen werden mit der verf{\"u}gbaren Literatur zum
Thema Data Lake sowie mit existierenden Ans{\"a}tzen aus der Forschung
abgeglichen. Die Gegen{\"u}berstellung zeigt, dass f{\"u}nf gro{\ss}e Forschungsl{\"u}cken
bestehen: 1. Unklare Datenmodellierungsmethoden, 2. Fehlende
Data-Lake-Referenzarchitektur, 3. Unvollst{\"a}ndiges Metadatenmanagementkonzept,
4. Unvollst{\"a}ndiges Data-Lake-Governance-Konzept, 5. Fehlende ganzheitliche
Realisierungsstrategie.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2020-11&engl=1}
}
@article {ART-2020-10,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Rebecca Eichler and Holger Schwarz and Bernhard Mitschang},
title = {{Data Lakes auf den Grund gegangen - Herausforderungen und Forschungsl{\"u}cken in der Industriepraxis}},
journal = {Datenbank Spektrum},
publisher = {Springer-Verlag},
volume = {20},
pages = {57--69},
type = {Article in Journal},
month = {January},
year = {2020},
keywords = {Data Lakes; Industryerfahrung},
language = {German},
cr-category = {H.2.1 Database Management Logical Design},
contact = {Senden Sie eine E-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Unternehmen stehen zunehmend vor der Herausforderung, gro{\ss}e, heterogene Daten
zu verwalten und den darin enthaltenen Wert zu extrahieren. In den letzten
Jahren kam darum der Data Lake als neuartiges Konzept auf, um diese komplexen
Daten zu verwalten und zu nutzen. Wollen Unternehmen allerdings einen solchen
Data Lake praktisch umsetzen, so sto{\ss}en sie auf vielf{\"a}ltige
Herausforderungen, wie beispielsweise Widerspr{\"u}che in der Definition oder
unscharfe und fehlende Konzepte. In diesem Beitrag werden konkrete Projekte
eines global agierenden Industrieunternehmens genutzt, um bestehende
Herausforderungen zu identifizieren und Anforderungen an Data Lakes
herzuleiten. Diese Anforderungen werden mit der verf{\"u}gbaren Literatur zum
Thema Data Lake sowie mit existierenden Ans{\"a}tzen aus der Forschung
abgeglichen. Die Gegen{\"u}berstellung zeigt, dass f{\"u}nf gro{\ss}e Forschungsl{\"u}cken
bestehen: 1. Unklare Datenmodellierungsmethoden, 2. Fehlende
Data-Lake-Referenzarchitektur, 3. Unvollst{\"a}ndiges Metadatenmanagementkonzept,
4. Unvollst{\"a}ndiges Data-Lake-Governance-Konzept, 5. Fehlende ganzheitliche
Realisierungsstrategie.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2020-10&engl=1}
}
@article {ART-2020-04,
author = {Corinna Giebler and Christoph Gr{\"o}ger and Eva Hoos and Rebecca Eichler and Holger Schwarz and Bernhard Mitschang},
title = {{Data Lakes auf den Grund gegangen: Herausforderungen und Forschungsl{\"u}cken in der Industriepraxis}},
journal = {Datenbank-Spektrum},
publisher = {Springer},
volume = {20},
number = {1},
pages = {57--69},
type = {Article in Journal},
month = {January},
year = {2020},
doi = {10.1007/s13222-020-00332-0},
keywords = {Data Lake; Analytics; Stand der Technik; Herausforderungen; Praxisbeispiel},
language = {German},
cr-category = {A.1 General Literature, Introductory and Survey,
E.0 Data General},
ee = {https://rdcu.be/b0WM8},
contact = {Senden Sie eine E-Mail an Corinna.Giebler@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Unternehmen stehen zunehmend vor der Herausforderung, gro{\ss}e, heterogene Daten
zu verwalten und den darin enthaltenen Wert zu extrahieren. In den letzten
Jahren kam darum der Data Lake als neuartiges Konzept auf, um diese komplexen
Daten zu verwalten und zu nutzen. Wollen Unternehmen allerdings einen solchen
Data Lake praktisch umsetzen, so sto{\ss}en sie auf vielf{\"a}ltige
Herausforderungen, wie beispielsweise Widerspr{\"u}che in der Definition oder
unscharfe und fehlende Konzepte. In diesem Beitrag werden konkrete Projekte
eines global agierenden Industrieunternehmens genutzt, um bestehende
Herausforderungen zu identifizieren und Anforderungen an Data Lakes
herzuleiten. Diese Anforderungen werden mit der verf{\"u}gbaren Literatur zum
Thema Data Lake sowie mit existierenden Ans{\"a}tzen aus der Forschung
abgeglichen. Die Gegen{\"u}berstellung zeigt, dass f{\"u}nf gro{\ss}e Forschungsl{\"u}cken
bestehen: 1. Unklare Datenmodellierungsmethoden, 2. Fehlende
Data-Lake-Referenzarchitektur, 3. Unvollst{\"a}ndiges Metadatenmanagementkonzept,
4. Unvollst{\"a}ndiges Data-Lake-Governance-Konzept, 5. Fehlende ganzheitliche
Realisierungsstrategie.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2020-04&engl=1}
}
@article {ART-2019-12,
author = {Mathias Mormul and Pascal Hirmer and Matthias Wieland and Bernhard Mitschang},
title = {{Distributed Situation Recognition in Industry 4.0}},
journal = {International Journal On Advances in Intelligent Systems},
publisher = {IARIA},
volume = {12},
number = {1},
pages = {39--49},
type = {Article in Journal},
month = {August},
year = {2019},
issn = {1942-2679},
keywords = {Industry 4.0; Edge Computing; Situation Recognition; Distribution Pattern},
language = {English},
cr-category = {E.0 Data General},
ee = {https://www.iariajournals.org/intelligent_systems/intsys_v12_n12_2019_paged.pdf},
contact = {mathias.mormul@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In recent years, advances in the Internet of Things led to new approaches and
applications, for example, in the domains Smart Factories or Smart Cities.
However, with the advantages such applications bring, also new challenges
arise. One of these challenges is the recognition of situations, e.g., machine
failures in Smart Factories. Especially in the domain of industrial
manufacturing, several requirements have to be met in order to deliver a
reliable and efficient situation recognition. One of these requirements is
distribution in order to achieve high efficiency. In this article, we present a
layered modeling approach to enable distributed situation recognition. These
layers include the modeling, the deployment, and the execution of the situation
recognition. Furthermore, we enable tool support to decrease the complexity for
domain users.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-12&engl=1}
}
@article {ART-2019-10,
author = {Cornelia Kiefer and Peter Reimann and Bernhard Mitschang},
title = {{QUALM: Ganzheitliche Messung und Verbesserung der Datenqualit{\"a}t in der Textanalyse}},
journal = {Datenbank-Spektrum},
publisher = {Springer Verlag},
pages = {1--12},
type = {Article in Journal},
month = {June},
year = {2019},
doi = {https://doi.org/10.1007/s13222-019-00318-7},
keywords = {Datenqualit{\"a}t; Textanalyse; Text Mining; Trainingsdaten; Semantische Ressourcen},
language = {German},
cr-category = {H.3 Information Storage and Retrieval},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Bestehende Ans{\"a}tze zur Messung und Verbesserung der Qualit{\"a}t von Textdaten in
der Textanalyse bringen drei gro{\ss}e Nachteile mit sich. Evaluationsmetriken wie
zum Beispiel Accuracy messen die Qualit{\"a}t zwar verl{\"a}sslich, sie (1) sind jedoch
auf aufw{\"a}ndig h{\"a}ndisch zu erstellende Goldannotationen angewiesen und (2) geben
keine Ansatzpunkte f{\"u}r die Verbesserung der Qualit{\"a}t. Erste dom{\"a}nenspezifische
Datenqualit{\"a}tsmethoden f{\"u}r unstrukturierte Textdaten kommen zwar ohne
Goldannotationen aus und geben Ansatzpunkte zur Verbesserung der Datenqualit{\"a}t.
Diese Methoden wurden jedoch nur f{\"u}r begrenzte Anwendungsgebiete entwickelt und
(3) ber{\"u}cksichtigen deshalb nicht die Spezifika vieler Analysetools in
Textanalyseprozessen. In dieser Arbeit pr{\"a}sentieren wir hierzu das
QUALM-Konzept zum qualitativ hochwertigen Mining von Textdaten (QUALity
Mining), das die drei o.g. Nachteile adressiert. Das Ziel von QUALM ist es, die
Qualit{\"a}t der Analyseergebnisse, z. B. bzgl. der Accuracy einer
Textklassifikation, auf Basis einer Messung und Verbesserung der Datenqualit{\"a}t
zu erh{\"o}hen. QUALM bietet hierzu eine Menge an QUALM-Datenqualit{\"a}tsmethoden.
QUALM-Indikatoren erfassen die Datenqualit{\"a}t ganzheitlich auf Basis der Passung
zwischen den Eingabedaten und den Spezifika der Analysetools, wie den
verwendeten Features, Trainingsdaten und semantischen Ressourcen (wie zum
Beispiel W{\"o}rterb{\"u}chern oder Taxonomien). Zu jedem Indikator geh{\"o}rt ein
passender Modifikator, mit dem sowohl die Daten als auch die Spezifika der
Analysetools ver{\"a}ndert werden k{\"o}nnen, um die Datenqualit{\"a}t zu erh{\"o}hen. In einer
ersten Evaluation von QUALM zeigen wir f{\"u}r konkrete Analysetools und
Datens{\"a}tze, dass die Anwendung der QUALM-Datenqualit{\"a}tsmethoden auch mit einer
Erh{\"o}hung der Qualit{\"a}t der Analyseergebnisse im Sinne der Evaluationsmetrik
Accuracy einhergeht. Die Passung zwischen Eingabedaten und Spezifika der
Analysetools wird hierzu mit konkreten QUALM-Modifikatoren erh{\"o}ht, die zum
Beispiel Abk{\"u}rzungen aufl{\"o}sen oder automatisch auf Basis von
Text{\"a}hnlichkeitsmetriken passende Trainingsdaten vorschlagen.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2019-10&engl=1}
}
@article {ART-2018-07,
author = {Eva Hoos and Pascal Hirmer and Bernhard Mitschang},
title = {{Automated Creation and Provisioning of Decision Information Packages for the Smart Factory}},
journal = {Complex Systems Informatics and Modeling Quarterly},
publisher = {Online},
volume = {15},
pages = {72--89},
type = {Article in Journal},
month = {August},
year = {2018},
issn = {2255-9922},
doi = {10.7250/csimq.2018-15.04},
keywords = {Industry 4.0; Context-awareness; Data Provisioning},
language = {English},
cr-category = {H.0 Information Systems General},
ee = {https://csimq-journals.rtu.lv/article/view/csimq.2018-15.04},
contact = {Pascal.Hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2018-07&engl=1}
}
@article {ART-2017-10,
author = {Ana Cristina Franco da Silva and Pascal Hirmer and Uwe Breitenb{\"u}cher and Oliver Kopp and Bernhard Mitschang},
title = {{Customization and provisioning of complex event processing using TOSCA}},
journal = {Computer Science - Research and Development},
publisher = {Springer Berlin Heidelberg},
pages = {1--11},
type = {Article in Journal},
month = {September},
year = {2017},
issn = {1865-2042},
issn = {1865-2034},
doi = {10.1007/s00450-017-0386-z},
keywords = {Internet of Things; Complex event processing; Customization; TOSCA},
language = {English},
cr-category = {K.6 Management of Computing and Information Systems,
D.2.12 Software Engineering Interoperability},
ee = {https://link.springer.com/article/10.1007/s00450-017-0386-z},
contact = {Ana-Cristina.Franco-da-Silva@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Architecture of Application Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-10&engl=1}
}
@article {ART-2017-09,
author = {Pascal Hirmer and Michael Behringer and Bernhard Mitschang},
title = {{Partial execution of Mashup Plans during modeling time}},
journal = {Computer Science - Research and Development},
publisher = {Springer Berlin Heidelberg},
pages = {1--12},
type = {Article in Journal},
month = {September},
year = {2017},
issn = {1865-2034},
issn = {1865-2042},
doi = {10.1007/s00450-017-0388-x},
keywords = {Workflows; Modeling; BPEL; Partial execution; Data Mashups},
language = {English},
cr-category = {H.2.8 Database Applications,
H.3.0 Information Storage and Retrieval General,
E.1 Data Structures},
ee = {https://link.springer.com/article/10.1007%2Fs00450-017-0388-x},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-09&engl=1}
}
@article {ART-2016-23,
author = {Pascal Hirmer and Uwe Breitenb{\"u}cher and Ana Cristina Franco da Silva and K{\'a}lm{\'a}n K{\'e}pes and Bernhard Mitschang and Matthias Wieland},
title = {{Automating the Provisioning and Configuration of Devices in the Internet of Things}},
journal = {Complex Systems Informatics and Modeling Quarterly},
publisher = {Online},
volume = {9},
pages = {28--43},
type = {Article in Journal},
month = {December},
year = {2016},
doi = {10.7250/csimq.2016-9.02},
issn = {2255 - 9922},
keywords = {Internet of Things; sensors; actuators; digital twin; ontologies; TOSCA},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {https://csimq-journals.rtu.lv/article/view/csimq.2016-9.02/pdf_8},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The Internet of Things benefits from an increasing number of interconnected
technical devices. This has led to the existence of so-called smart
environments, which encompass one or more devices sensing, acting, and
automatically performing different tasks to enable their self-organization.
Smart environments are divided into two parts: the physical environment and its
digital representation, oftentimes referred to as digital twin. However, the
automated binding and monitoring of devices of smart environments are still
major issues. In this article we present a method and system architecture to
cope with these challenges by enabling (i) easy modeling of sensors, actuators,
devices, and their attributes, (ii) dynamic device binding based on their type,
(iii) the access to devices using different paradigms, and (iv) the monitoring
of smart environments in regard to failures or changes. We furthermore provide
a prototypical implementation of the introduced approach.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-23&engl=1}
}
@article {ART-2016-18,
author = {Frank Steimle and Matthias Wieland and Bernhard Mitschang and Sebastian Wagner and Frank Leymann},
title = {{Extended provisioning, security and analysis techniques for the ECHO health data management system}},
journal = {Computing},
publisher = {Springer},
pages = {1--19},
type = {Article in Journal},
month = {October},
year = {2016},
doi = {10.1007/s00607-016-0523-8},
language = {English},
cr-category = {C.2.4 Distributed Systems,
H.2.8 Database Applications,
J.3 Life and Medical Sciences},
ee = {http://dx.doi.org/10.1007/s00607-016-0523-8},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {eHealth gains more and more interest since a lot of end-user devices supporting
health data capturing are available. The captured data has to be managed and
securely stored, in order to access it from different devices and share it with
other users such as physicians. The aim of the german-greek research project
ECHO is to support the treatment of patients, who suffer from chronic
obstructive pulmonary disease, a chronic respiratory disease. Usually the
patients need to be examined by their physicians on a regular basis due to
their chronic condition. Since this is very time consuming and expensive we
developed an eHealth system which allows the physician to monitor patients
condition remotely, e.g., via smart phones. This article is an extension of
previous work, where we introduced a health data model and an associated
platform-architecture for the management and analysis of the data provided by
the patients. There we have also shown how the security of the data is ensured
and we explained how the platform can be provided in a cloud-based environment
using the OASIS standard TOSCA, which enables a self-contained management of
cloud-services. In this article we provide a more detailed description about
the health data analysis, provisioning and security aspects of the eHealth
system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-18&engl=1}
}
@article {ART-2016-16,
author = {Mathias Mormul and Pascal Hirmer and Matthias Wieland and Bernhard Mitschang},
title = {{Situation model as interface between situation recognition and situation-aware applications}},
journal = {Computer Science - Research and Development},
publisher = {Springer Berlin Heidelberg},
pages = {1--12},
type = {Article in Journal},
month = {November},
year = {2016},
doi = {10.1007/s00450-016-0335-2},
keywords = {Situation; Situation-awareness; Data management; Internet of things; Context; Context-awareness},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {http://link.springer.com/article/10.1007/s00450-016-0335-2},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The upcoming of internet of things draws interest of many companies and leads
to the creation of smart environments. The foundation necessary for this
purpose lies in the integration of sensors, which continuously provide context
data of their environment. Based on this context, changes of state in the
environment, i.e., situations, can be detected. However, with the huge amount
of heterogeneous context and its processing, new challenges arise.
Simultaneously, the dynamic behavior of the environment demands automated
mechanisms for applications to adapt to the situations automatically and in a
timely manner. To meet this challenge, we present (1) the situation model as a
data model for integrating all data related to situation recognition, and (2)
the management and provisioning of situations based on this situation model to
further decouple situation recognition and applications adapting to recognized
situations. Furthermore, we present a prototypical implementation of the
situation model and its management.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-16&engl=1}
}
@article {ART-2016-14,
author = {Ana Cristina Franco da Silva and Pascal Hirmer and Matthias Wieland and Bernhard Mitschang},
title = {{SitRS XT – Towards Near Real Time Situation Recognition}},
journal = {Journal of Information and Data Management},
publisher = {-},
volume = {7},
number = {1},
pages = {4--17},
type = {Article in Journal},
month = {April},
year = {2016},
keywords = {Complex Event Processing; Internet of Things; Situation-awareness; Situation Recognition},
language = {English},
cr-category = {H.3 Information Storage and Retrieval,
I.5 Pattern Recognition},
ee = {https://seer.lcc.ufmg.br/index.php/jidm/article/view/2109},
contact = {franco-da-silva@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, the Internet of Things gains more and more attention through cheap,
highly interconnected hardware devices that are attached with sensors and
actuators. This results in an instrumented environment that provides sufficient
context information to drive what is called situation recognition. Situations
are derived from large amounts of context data, which is difficult to handle.
In this article, we present SitRS XT, an extension of our previously introduced
situation recognition service SitRS, to enable situation recognition in near
real time. SitRS XT provides easy to use situation recognition based on Complex
Event Processing, which is highly efficient. The architecture and method of
SitRS XT is described and evaluated through a prototypical implementation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-14&engl=1}
}
@article {ART-2016-13,
author = {Pascal Hirmer and Bernhard Mitschang},
title = {{TOSCA4Mashups: enhanced method for on-demand data mashup provisioning}},
journal = {Computer Science - Research and Development},
publisher = {Springer Berlin Heidelberg},
pages = {1--10},
type = {Article in Journal},
month = {October},
year = {2016},
doi = {10.1007/s00450-016-0330-7},
keywords = {Data Mashups; TOSCA; Provisioning; Cloud Computing},
language = {English},
cr-category = {E.0 Data General,
E.1 Data Structures,
H.1 Models and Principles},
ee = {http://link.springer.com/article/10.1007/s00450-016-0330-7},
contact = {Pascal.Hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays, the amount of data increases tremendously. Extracting information and
generating knowledge from this data is a great challenge. To cope with this
issue – oftentimes referred to as big data problem – we need effective means
for efficient data integration, data processing, and data analysis. To enable
flexible, explorative and ad-hoc data processing, several data mashup
approaches and tools have been developed in the past. One of these tools is
FlexMash – a data mashup tool developed at the University of Stuttgart. By
offering domain-specific graphical modeling as well as a pattern-based
execution, FlexMash enables usage by a wide range of users, both domain experts
and technical experts. The core idea of FlexMash is a flexible execution of
data mashups using different, user-requirement-dependent execution components.
In this paper, we present a new approach for on-demand, automated provisioning
of these components in a cloud computing environment using the Topology and
Orchestration Specification for Cloud Applications. This enables many
advantages for mashup execution such as scalability, availability and cost
savings.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-13&engl=1}
}
@article {ART-2016-12,
author = {Pascal Hirmer and Matthias Wieland and Holger Schwarz and Bernhard Mitschang and Uwe Breitenb{\"u}cher and Santiago G{\'o}mez S{\'a}ez and Frank Leymann},
title = {{Situation recognition and handling based on executing situation templates and situation-aware workflows}},
journal = {Computing},
publisher = {Springer},
pages = {1--19},
type = {Article in Journal},
month = {October},
year = {2016},
doi = {10.1007/s00607-016-0522-9},
keywords = {Situation Recognition; IoT; Context; Integration; Cloud Computing; Workflows; Middleware},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
H.3.1 Content Analysis and Indexing},
ee = {http://dx.doi.org/10.1007/s00607-016-0522-9},
contact = {pascal.hirmer@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, the Internet of Things has evolved due to an advanced interconnectivity
of hardware devices equipped with sensors and actuators. Such connected
environments are nowadays well-known as smart environments. Famous examples are
smart homes, smart cities, and smart factories. Such environments should only
be called {\ss}mart`` if they allow monitoring and self-organization. However, this
is a great challenge: (1) sensors have to be bound and sensor data have to be
efficiently provisioned to enable monitoring of these environments, (2)
situations have to be detected based on sensor data, and (3) based on the
recognized situations, a reaction has to be triggered to enable
self-organization, e.g., through notification delivery or the execution of
workflows. In this article, we introduce SitOPT---an approach for situation
recognition based on raw sensor data and automated handling of occurring
situations through notification delivery or execution of situation-aware
workflows. This article is an extended version of the paper ''SitRS - Situation
Recognition based on Modeling and Executing Situation Templates`` presented at
the 9th Symposium and Summer School of Service-oriented Computing 2015.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-12&engl=1}
}
@article {ART-2016-06,
author = {Christoph Gr{\"o}ger and Christoph Stach and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{A mobile dashboard for analytics-based information provisioning on the shop floor}},
journal = {International Journal of Computer Integrated Manufacturing},
publisher = {Taylor \& Francis Inc.},
pages = {1--20},
type = {Article in Journal},
month = {May},
year = {2016},
doi = {10.1080/0951192X.2016.1187292},
keywords = {dashboard; cockpit; process optimisation; data analytics; business intelligence; data mining},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
J.2 Physical Sciences and Engineering},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today's turbulent global environment requires agility and flexibility of
manufacturing companies to stay competitive. Thus, employees have to monitor
their performance continuously and react quickly to turbulences which demands
real-time information provisioning across all hierarchy levels. However,
existing manufacturing IT systems, for example, manufacturing execution systems
(MES), do hardly address information needs of individual employees on the shop
floor. Besides, they do not exploit advanced analytics to generate novel
insights for process optimisation. To address these issues, the operational
process dashboard for manufacturing (OPDM) is presented, a mobile
data-mining-based dashboard for workers and supervisors on the shop floor. It
enables proactive optimisation by providing analytical information anywhere and
anytime in the factory. In this paper, first, user groups and conceptual
dashboard services are defined. Then, IT design issues of a mobile shop floor
application on top of the advanced manufacturing analytics platform are
investigated in order to realise the OPDM. This comprises the evaluation of
different types of mobile devices, the development of an appropriate context
model and the investigation of security issues. Finally, an evaluation in an
automotive industry case is presented using a prototype in order to demonstrate
the benefits of the OPDM for data-driven process improvement and agility in
manufacturing.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2016-06&engl=1}
}
@article {ART-2015-05,
author = {Christoph Stach and Bernhard Mitschang},
title = {{Der Secure Data Container (SDC)}},
journal = {Datenbank-Spektrum},
address = {Berlin, Heidelberg},
publisher = {Springer Verlag},
volume = {15},
number = {2},
pages = {109--118},
type = {Article in Journal},
month = {July},
year = {2015},
issn = {1618-2162},
doi = {10.1007/s13222-015-0189-y},
keywords = {Datenschutz; Schutzziele; PMP-Erweiterung; Datencontainer; Evaluation},
language = {German},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Mobile Endger{\"a}te wurden zu Marc Weisers Computer des 21. Jahrhunderts, da sie
als dauerhaft verf{\"u}gbare Informationsquelle Einzug in unseren Alltag gehalten
haben. Auf ihnen treffen private Daten (z.B. Fotos) auf Kontextdaten (z.B.
Standortdaten); verkn{\"u}pft stellen diese ein immenses Sicherheitsrisiko dar. Wie
eine Vielzahl an Datendiebst{\"a}hlen belegt, reichen die existierenden
Datensicherheitssysteme f{\"u}r Mobilplattformen bei weitem nicht aus. Daher bedarf
es einer Identifikation m{\"o}glicher Angriffsvektoren sowie einer Analyse der
speziellen Schutzziele eines solchen Systems. Darauf basierend wird die Privacy
Management Platform, ein Berechtigungssystem, mithilfe des neu eingef{\"u}hrten
Secure Data Containers zu einem ganzheitlichen Datensicherheitssystem
erweitert. Dabei zeigt sich, dass diese Kombination alle Schutzziele erf{\"u}llt
und dennoch hochperformant ist. Obwohl die vorgestellten Prototypen auf Android
basieren, ist das Konzept auch auf andere App-Plattformen anwendbar.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2015-05&engl=1}
}
@article {ART-2015-03,
author = {Stefan Silcher and Erwin Gro{\ss} and Jan K{\"o}nigsberger and J{\"o}rg Siegert and Michael Lickefett and Thomas Bauernhansl and Bernhard Mitschang},
title = {{Mobile Fabriklayoutplanung}},
journal = {wt Werkstattstechnik online},
address = {D{\"u}sseldorf},
publisher = {Springer-VDI-Verlag},
volume = {105},
number = {3},
pages = {96--101},
type = {Article in Journal},
month = {March},
year = {2015},
language = {German},
cr-category = {J.6 Computer-Aided Engineering,
H.4.2 Information Systems Applications Types of Systems},
ee = {http://www.werkstattstechnik.de/wt/currentarticle.php?data[article_id]=82746},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Eine stetig steigende Produktvielfalt sowie ein sich schnell {\"a}nderndes
Marktumfeld erfordern neue Methoden der Planung, um auf diese Komplexit{\"a}t der
M{\"a}rkte angemessen zu reagieren. Einen wichtigen Stellhebel bildet dabei die
Wandlungsf{\"a}higkeit, die durch geeignete Planungsmethoden unterst{\"u}tzt und
optimiert wird. Gerade in der Layoutplanung k{\"o}nnen geeignete Methoden und
Systeme zu einem Wettbewerbsvorteil f{\"u}hren. Dieser Fachartikel geht am
Beispiel der Lernfabrik {\^a}€žadvanced Industrial Engineering{\^a}€œ (aIE) und einer
f{\"u}r das Android-Betriebssystem entwickelten App zur Layoutplanung auf die
mobile Layoutplanung {\^a}€žvor Ort{\^a}€œ in der Fabrik ein.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2015-03&engl=1}
}
@article {ART-2012-12,
author = {Nazario Cipriani and Oliver D{\"o}rler and Bernhard Mitschang},
title = {{Sicherer Zugriff und sichere Verarbeitung von Kontextdatenstr{\"o}men in einer verteilten Umgebung}},
journal = {Datenbank-Spektrum ``Data Streams and Event Processing''},
publisher = {dpunkt.verlag},
volume = {12},
number = {1},
pages = {13--22},
type = {Article in Journal},
month = {March},
year = {2012},
language = {German},
cr-category = {K.6.5 Security and Protection,
D.4.6 Operating Systems Security and Protection},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Technologischer Fortschritt im Bereich der Mikroelektronik und
Kommunikationstechnik f{\"u}hren zunehmend zu einem stark vernetzten, mit Sensoren
ausgestatteten Umfeld. Die damit einhergehende stetig steigende Anzahl an
Sensorinformationen, deren Daten in Form von Datenstr{\"o}men bereitgestellt
werden, erm{\"o}glichen neue Anwendungsszenarien und treiben neue
Verarbeitungstechniken. Im Kontext der sichverst{\"a}rkenden Durchdringung des
allt{\"a}glichen Lebens mit sozialen Medien und der gleichzeitigen Auswertung von
beispielsweise Positionsinformationen, w{\"a}chst die Bedeutung der
Zugriffskontrolle auf Information. Die Herausforderung in diesem Zusammenhang
besteht darin, Mechanismen zur Verf{\"u}gung zu stellen, die eine Regelung des
Datenzugriffs erm{\"o}glichen und die Datenstromverarbeitung effizient und
flexibel unterst{\"u}tzen.
Diese Arbeit stellt ein flexibles Rahmenwerk zur sicheren Verarbeitung von
Kontextdaten vor, das es Anbietern von Daten in Datenstromverarbeitungssystemen
erm{\"o}glicht, den Zugriff und die Verarbeitung sch{\"u}tzenswerter Daten zu
kontrollieren. Hierbei erm{\"o}glicht das vorgestellte Konzept im Gegensatz zu
bisherigen Konzepten insbesondere den feingranularen Zugriff auf Kontextdaten.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2012-12&engl=1}
}
@article {ART-2011-19,
author = {Bernhard Mitschang and Holger Schwarz},
title = {{Der Lehrstuhl ”Datenbanken und Informationssysteme” an der Universit{\"a}t Stuttgart stellt sich vor}},
journal = {Datenbank-Spektrum},
publisher = {Springer},
volume = {11},
number = {3},
pages = {213--217},
type = {Article in Journal},
month = {November},
year = {2011},
language = {German},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In diesem Beitrag stellen wir den Lehrstuhl f{\"u}r Datenbanken und
Informationssysteme der Universit{\"a}t Stuttgart unter der Leitung von Prof. Dr.
Bernhard Mitschang vor. Nach einem {\"U}berblick {\"u}ber die Forschungsschwerpunkte
des Lehrstuhls gehen wir auf ausgew{\"a}hlte aktuelle Forschungsprojekte ein und
erl{\"a}utern die Beteiligung an der Lehre in Bachelor- und Masterstudieng{\"a}ngen.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2011-19&engl=1}
}
@article {ART-2011-14,
author = {Peter Reimann and Holger Schwarz and Bernhard Mitschang},
title = {{Design, Implementation, and Evaluation of a Tight Integration of Database and Workflow Engines}},
journal = {Journal of Information and Data Management},
editor = {Alberto H. F. Laender and Mirella M. Moro},
publisher = {SBC - Brazilian Computer Society},
volume = {2},
number = {3},
pages = {353--368},
type = {Article in Journal},
month = {October},
year = {2011},
issn = {2178-7107},
keywords = {Data-Intensive Workflow; Improved Local Data Processing; Scientific Workflow; Simulation Workflow},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
H.2.8 Database Applications,
H.4.1 Office Automation},
contact = {Peter Reimann Peter.Reimann@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Accessing and processing huge amounts of heterogeneous and distributed data are
some of the major challenges of data-intensive workflows. Traditionally, the
descriptions of such workflows focus on their data flow. Nevertheless,
control-flow-oriented workflow languages are increasingly adapted to the needs
of data-intensive workflows. This provides a common level of abstraction for
both data-intensive workflows and classical orchestration workflows, e.g.,
business workflows, which then enables a comprehensive optimization across all
workflows. However, the problem still remains that workflows described in
control-flow-oriented languages tend to be less efficient for data-intensive
processes compared to specialized data-flow-oriented approaches. In this paper,
we propose a new kind of optimization targeted at data-intensive workflows that
are described in control-flow-oriented languages. We show how to improve
efficiency of such workflows by introducing various techniques that partition
the local data processing tasks to be performed during workflow execution in an
improved way. These data processing tasks are either assigned to the workflow
engine or to the tightly integrated local database engine. We evaluate the
effectiveness of these techniques by means of various test scenarios.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2011-14&engl=1}
}
@article {ART-2011-12,
author = {Jorge Minguez and Stefan Silcher and Philipp Riffelmacher and Bernhard Mitschang},
title = {{A Service Bus Architecture for Application Integration in the Planning and Production Phases of a Product Lifecycle}},
journal = {International Journal of Systems and Service-Oriented Engineering},
publisher = {IGI Global},
volume = {2},
number = {2},
pages = {21--36},
type = {Article in Journal},
month = {June},
year = {2011},
issn = {1947-3052},
keywords = {Manufacturing Service Bus; Service-oriented Architecture; Product Lifecycle Management; SOA; MSB; PLM},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Constantly changing business conditions require a high level of flexibility in
business processes as well as an adaptive and fully interoperable IT
infrastructure in today’s manufacturing environments. The lack of flexibility
prevents manufacturing companies from improving their responsiveness and
adapting their workflows to turbulent scenarios. In order to achieve highly
flexible and adaptive workflows, information systems in digital factories and
shop floors need to be integrated. The most challenging problem in such
manufacturing environments is the high heterogeneity of the IT landscape, where
the integration of legacy systems and information silos has led to chaotic
architectures over the last two decades. In order to overcome this issue, the
authors present a flexible integration platform that allows a loose coupling of
distributed services in event-driven manufacturing environments. The proposed
approach enables a flexible communication between digital factory and shop
floor components by introducing a service bus architecture. This solution
integrates an application-independent canonical message format for
manufacturing events, content-based routing and transformation services as well
as event processing workflows.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2011-12&engl=1}
}
@article {ART-2011-04,
author = {Jorge Minguez and Philipp Riffelmacher and Bernhard Mitschang and Engelbert Westk{\"a}mper},
title = {{Servicebasierte Integration von Produktionsanwendungen}},
journal = {Werkstattstechnik online},
publisher = {Springer-VDI Verlag},
volume = {3-2011},
pages = {128--133},
type = {Article in Journal},
month = {March},
year = {2011},
keywords = {service-oriented architecture; SOA; ESB; manufacturing; produktion; lernfabrik; produktionsanwendungen; servicebasierte integration},
language = {German},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
ee = {http://www.technikwissen.de/wt/currentarticle.php?data[article_id]=59574},
contact = {jorge.minguez@gsame.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In einem modernen Produktionsumfeld soll es m{\"o}glich sein,
informationstechnische Prozesse an die sich zunehmend {\"a}ndernden
Gesch{\"a}ftsbedingungen anzupassen. Um eine schnelle Anpassung zu realisieren, ist
eine flexible Integration unterschiedlicher Informationssysteme erforderlich,
da die Informationsfl{\"u}sse durch system{\"u}bergreifende Datenbearbeitungsprozesse
gesteuert werden. Die heterogene Landschaft der digitalen Werkzeuge stellt
dabei eine enorme Herausforderung dar. Der vorgestellte servicebasierte Ansatz
adressiert diese Problematik.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2011-04&engl=1}
}
@article {ART-2009-30,
author = {Nicola H{\"o}nle and Matthias Grossmann and Daniela Nicklas and Bernhard Mitschang},
title = {{Design and implementation of a domain-aware data model for pervasive context information}},
journal = {Computer Science Research + Development},
publisher = {Springer},
volume = {24},
number = {1-2},
pages = {69--83},
type = {Article in Journal},
month = {September},
year = {2009},
language = {English},
cr-category = {H.2.1 Database Management Logical Design,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {We introduce a data model for a context-management middleware that enables
context-aware and pervasive computing applications to transparently access
available data providers and that effectively combines their data. Our approach
supports new data fusion concepts for overlapping and heterogeneous data sets
and thus maximizes the information presented to the application. The main part
of our data model is a flexible concept for meta data that is able to represent
important aspects like quality, data derivation, or temporal characteristics of
data. Attributes having multiple values are utilized to represent sensor
measurements histories like locations of mobile objects at different points in
time. In our paper, we characterize the requirements for our data model and
show that existing data models, including the (object-) relational data model
and standard XML data models, do not offer the required flexibility. Therefore
basic XML technology is extended to support the necessary meta data concept and
multiply typed objects.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2009-30&engl=1}
}
@article {ART-2009-09,
author = {Jing Lu and Bernhard Mitschang},
title = {{Enforcing Data Consistency in Data Integration Systems by XQuery Trigger Service}},
journal = {International Journal of Web Information Systems},
publisher = {Emerald Group Publishing Limited},
volume = {5},
number = {2},
pages = {1--19},
type = {Article in Journal},
month = {May},
year = {2009},
language = {English},
cr-category = {E.0 Data General},
contact = {jinglu76@gmail.com},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Nowadays XML-based data integration systems are accepted as data service
providers on the web. In order to make such a data integration system fully
equipped with data manipulation capabilities, programming frameworks which
support update at the integration level are being developed. When the user is
permitted to submit updates, it is necessary to establish the best possible
data consistency for the whole data integration system. To that extend, we
present an approach based on an XQuery trigger service. We define an XQuery
trigger model together with its semantics. We report on the integration of the
XQuery trigger service into the overall architecture and discuss details of the
execution model. Experiments show that our approach provides an easy, efficient
and convenient way to achieve data consistency at the global level.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2009-09&engl=1}
}
@article {ART-2009-08,
author = {Nazario Cipriani and Daniela Nicklas and Matthias Gro{\ss}mann and Nicola H{\"o}nle and Carlos L{\"u}bbe and Bernhard Mitschang},
title = {{Verteilte Datenstromverarbeitung von Sensordaten}},
journal = {Datenbank-Spektrum},
publisher = {dpunkt Verlag},
volume = {9},
number = {28},
pages = {37--43},
type = {Article in Journal},
month = {February},
year = {2009},
language = {German},
cr-category = {H.2.4 Database Management Systems,
H.2.8 Database Applications,
E.4 Data Coding and Information Theory},
contact = {nazario.cipriani@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Technologischer Fortschritt im Bereich der Mikroelektronik und
Kommunikationstechnik f{\"u}hren zunehmend zu einem stark vernetzten, mit Sensoren
ausgestatteten Umfeld. Die Herausforderung, die in diesem Zusammenhang
auftretenden kontinuierlichen Datenstr{\"o}me zu verwalten und effizient zu
verarbeiten, sowie heterogene Sensorger{\"a}te und Netztopologien zu integrieren,
ist f{\"u}r viele Anwendungsentwickler eine zu gro{\ss}e H{\"u}rde. In dieser Arbeit wird
eine Middleware vorgestellt, die es einer Anwendung erm{\"o}glicht, anfragebasiert
die Verarbeitung von kontinuierlichen Datenstr{\"o}men zu steuern. Die zur
Verarbeitung der Daten ben{\"o}tigten Operatoren werden virtualisiert ausgef{\"u}hrt,
um die gr{\"o}{\ss}tm{\"o}gliche Flexibilit{\"a}t bei der Verteilung auf die beteiligten
physischen Knoten zu erreichen. Weiterhin werden Ans{\"a}tze zur Komprimierung von
Datenstr{\"o}men vorgestellt, um das Gesamtvolumen der ausgetauschten Daten
zwischen den Knoten zu reduzieren.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2009-08&engl=1}
}
@article {ART-2006-13,
author = {Kurt Rothermel and Thomas Ertl and Fritsch Dieter and Paul J. K{\"u}hn and Bernhard Mitschang and Engelbert Westk{\"a}mper and Christian Becker and Dominique Dudkowski and Andreas Gutscher and Christian Hauser and Lamine Jendoubi and Daniela Nicklas and Steffen Volz and Matthias Wieland},
title = {{SFB 627 – Umgebungsmodelle f{\"u}r mobile kontextbezogene Systeme}},
journal = {Informatik - Forschung und Entwicklung},
publisher = {Springer-Verlag},
volume = {21},
number = {1-2},
pages = {105--113},
type = {Article in Journal},
month = {June},
year = {2006},
language = {German},
cr-category = {C.2.4 Distributed Systems,
H.2.4 Database Management Systems,
H.2.8 Database Applications,
H.3 Information Storage and Retrieval},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2006-13/ART-2006-13.pdf},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
Universit{\"a}t Stuttgart, Institut f{\"u}r Industrielle Fertigung und Fabrikbetrieb (IFF);
University of Stuttgart, Institute of Visualisation and Interactive Systems, Visualisation and Interactive Systems;
Universit{\"a}t Stuttgart, Institut f{\"u}r Photogrammetrie (ifp);
University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems;
Universit{\"a}t Stuttgart, Institut f{\"u}r Kommunikationsnetze und Rechnersysteme (IKR)},
abstract = {Computersysteme, wie wir sie heute kennen, passen sich typischerweise nicht an
den Benutzer und dessen Situation an. Erste Beispiele von Systemen, die durch
den Bezug zur Realwelt den Kontext des Benutzers einbeziehen, sind
Navigationssysteme, die unter Ber{\"u}cksichtigung der Position eines Benutzers und
der Verkehrslage Richtungsanweisungen geben k{\"o}nnen. Damit innovative
kontextbezogene Anwendungen m{\"o}glich werden, muss der Kontext, also der Zustand
der Realwelt, durch Sensoren erfasst, in das Computersystem {\"u}bermittelt und
dort in Form dynamischer Umgebungsmodelle den Anwendungen zur Verf{\"u}gung
gestellt werden.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2006-13&engl=1}
}
@article {ART-2004-20,
author = {Bernhard Mitschang and Stefan Jablonski},
title = {{Middleware-Technologien zur Systemintegration}},
journal = {Middleware-Technologien zur Systemintegration},
editor = {Oldenbourg},
publisher = {Oldenbourg Wissenschaftsverlag},
volume = {46},
number = {4},
pages = {173--174},
type = {Article in Journal},
month = {April},
year = {2004},
issn = {1611-2776},
language = {English},
cr-category = {H.2.2 Database Management Physical Design},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Middleware-Technologien zur Systemintegration},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2004-20&engl=1}
}
@article {ART-2004-14,
author = {Bernhard Mitschang and Engelbert Westk{\"a}mper and Carmen Constantinescu and Uwe Heinkel and Benno L{\"o}ffler and Ralf Rantzau and Raplh Winkler},
title = {{Divide et Impera: A Flexible Integration of Layout Planning and Logistics Simulation through Data Change Propagation.}},
journal = {The CIRP - Journal of Manufacturing Systems},
editor = {J. Peklenik},
publisher = {CIRP},
volume = {33},
number = {6},
pages = {509--518},
type = {Article in Journal},
month = {November},
year = {2004},
language = {English},
cr-category = {J.6 Computer-Aided Engineering,
C.2.4 Distributed Systems},
contact = {Uwe.Heinkel@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The turbulent markets lead to new challenges for today’s enterprises, they have
to be transformable to stay competitive. Therefore, we developed a new approach
that integrates Logistic Simulation and Layout Planning to fulfil the goal of
improving the production system. Our approach is based on propagation and
transformation of data changes concerning the continuous adaptation tasks among
the Layout Planning and Logistics Simulation systems. Instead of relying on a
tightly integrated global data schema, we connect systems only as far as
required by building “bridges” between them. The systems that participate in
the integration are kept autonomous. We use several state-of-the-art XML
technologies in our integration system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2004-14&engl=1}
}
@article {ART-2003-17,
author = {Bernhard Mitschang},
title = {{Data propagation as an enabling technology for collaboration and cooperative information systems}},
journal = {Computers in Industry},
address = {Amsterdam},
publisher = {Elsevier Science Publishers B.V.},
volume = {52},
pages = {59--69},
type = {Article in Journal},
month = {September},
year = {2003},
language = {English},
cr-category = {H.5.3 Group and Organization Interfaces},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Collaboration in cooperative information systems, as occurring in concurrent
design and engineering, exploits common work and information spaces. In this
paper we present the Transaction-Oriented Group and Coordination Service for
Data-Centric Applications (TOGA) and the DataPropagator CHAMPAGNE that together
realize a shared information space that is controlled by a basic collaboration
service. Our approach enables both, firstly, the evolution of a set of separate
applications to form a cooperative information system, i.e. it provides a
technique towards component-oriented system engineering. Secondly, it can be
exploited as a basic service within collaboration frameworks to effectively
manage common work and information spaces.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2003-17&engl=1}
}
@article {ART-2003-03,
author = {Holger Schwarz and Tobias Kraft and Ralf Rantzau and Bernhard Mitschang},
title = {{Optimierung von Anfragesequenzen in Business-Intelligence-Anwendungen}},
journal = {it - Information Technology},
address = {M{\"u}nchen},
publisher = {Oldenbourg},
volume = {45},
number = {4},
pages = {196--202},
type = {Article in Journal},
month = {August},
year = {2003},
keywords = {Data Warehouse, Business Intelligence, Anfragesequenzen, OLAP, Data Mining},
language = {German},
cr-category = {H.2.4 Database Management Systems,
H.2.7 Database Administration,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Zur Analyse der Daten in einem Data Warehouse kommen unterschiedliche
Business-Intelligence-Anwendungen zum Einsatz. Ein wichtiger Erfolgsfaktor f{\"u}r
deren Nutzung ist die Effizienz, mit der die erstellten Anfragen ausgef{\"u}hrt
werden. In diesem Beitrag wird zun{\"a}chst das typische Verarbeitungsszenario f{\"u}r
generierte Anfragesequenzen im Bereich Business Intelligence erl{\"a}utert. Darauf
aufbauend wird eine Reihe anwendungsneutraler Optimierungsstrategien erl{\"a}utert
und bewertet. Anhand von Messergebnissen wird gezeigt, dass es sich
insbesondere bei der Restrukturierung von Anfragesequenzen um einen
vielversprechenden Ansatz handelt.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2003-03&engl=1}
}
@article {ART-2003-02,
author = {Ralf Rantzau and Leonard Shapiro and Bernhard Mitschang and Quan Wang},
title = {{Algorithms and Applications for Universal Quantification in Relational Databases}},
journal = {Information Systems},
editor = {Christian S. Jensen},
publisher = {Elsevier},
volume = {28},
number = {1-2},
pages = {3--32},
type = {Article in Journal},
month = {January},
year = {2003},
keywords = {query operators; relational division; grouping; set containment join; frequent itemset discovery},
language = {English},
cr-category = {H.2.4 Database Management Systems},
ee = {http://www.elsevier.nl/locate/is},
contact = {rrantzau@acm.org},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Queries containing universal quantification are used in many applications,
including business intelligence applications and in particular data mining. We
present a comprehensive survey of the structure and performance of algorithms
for universal quantification. We introduce a framework that results in a
complete classification of input data for universal quantification. Then we go
on to identify the most efficient algorithm for each such class. One of the
input data classes has not been covered so far. For this class, we propose
several new algorithms. Thus, for the first time, we are able to identify the
optimal algorithm to use for any given input dataset.
These two classifications of optimal algorithms and input data are important
for query optimization. They allow a query optimizer to make the best selection
when optimizing at intermediate steps for the quantification problem.
In addition to the classification, we show the relationship between relational
division and the set containment join and we illustrate the usefulness of
employing universal quantifications by presenting a novel approach for frequent
itemset discovery.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2003-02&engl=1}
}
@article {ART-2002-08,
author = {Bernhard Mitschang and Aiko Frank},
title = {{A customizable shared information space to support concurrent design}},
journal = {Special Issue of Computers in Industry},
address = {Amsterdam},
publisher = {Elsevier Science Publishers B. V.},
volume = {48},
number = {1},
pages = {45--58},
type = {Article in Journal},
month = {May},
year = {2002},
issn = {0166-3615},
language = {English},
cr-category = {H.2.2 Database Management Physical Design},
contact = {Bernhard.Mitschang@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Sharing data is an important aspect in distributed design environments and
should be supported by an underlying system. Any synchronous access to data is
conflict prone. Applying concurrency control and two phase commit are one
option to be considered. But design processes also demand for cooperation
between the designers. Negotiation about actions on the product under design
and the early exchange of preliminary results are crucial issues. Controlled
data access by itself does not fulfil all the needs for cooperation. We will
present a new approach that relies on a concept and system model which
integrates concurrent activities by a joint information space offering flexible
protocols for cooperation on the shared objects. We will describe the
customizability of the protocols to effectively support different cooperative
scenarios.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2002-08&engl=1}
}
@article {ART-2001-06,
author = {Matthias Gro{\ss}mann and Alexander Leonhardi and Bernhard Mitschang and Kurt Rothermel},
title = {{A World Model for Location-Aware Systems}},
journal = {Informatik},
publisher = {Schweizerischer Verband der Informatikorganisationen SVI/FSI},
volume = {8},
number = {5},
pages = {22--25},
type = {Article in Journal},
month = {October},
year = {2001},
keywords = {Mobile Computing; Location-Aware Applications; Augmented World Model},
language = {English},
cr-category = {H.2.3 Database Management Languages,
H.3.4 Information Storage and Retrieval Systems and Software},
ee = {http://www.nexus.uni-stuttgart.de},
contact = {matthias.grossmann@informatik.uni-stuttgart.de, alexander.leonhardi@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Distributed Systems;
University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Advanced location-aware applications require a detailed model of the real
world. The goal of the Nexus platform is to provide such a model together with
generic functionality to a wide variety of location-aware applications. In this
paper, we describe the characteristics of this Augmented World Model and the
architecture of the Nexus platform. We look in more detail at the two main
components responsible for the main aspects of the world model, namely the
spatial data and the position information of mobile objects.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2001-06&engl=1}
}
@article {ART-2000-06,
author = {Aiko Frank and J{\"u}rgen Sellentin and Bernhard Mitschang},
title = {{TOGA - a customizable service for data-centric collaboration}},
journal = {Information Systems, Data Bases: Their Creation Management and Utilization, Special Issue: The 11th International Conference on Advanced Information Systems Engineering (CAiSE*99)},
editor = {Matthias Jarke and Dennis Shasha},
address = {Oxford},
publisher = {Elsevier Science Ltd.},
volume = {25},
number = {2},
pages = {157--176},
type = {Article in Journal},
month = {April},
year = {2000},
keywords = {Concurrent Engineering; Collaboration, CSCW, Events},
language = {English},
cr-category = {D.2.12 Software Engineering Interoperability,
H.2.4 Database Management Systems,
H.3.4 Information Storage and Retrieval Systems and Software,
H.4.1 Office Automation},
contact = {Contact mitsch@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Collaboration in cooperative information systems, like concurrent design and
engineering, exploits common work and information spaces. In this paper we
introduce the TOGA service (Transaction-Oriented Group and Coordination Service
for Data-Centric Applications), which offers group management facilities and a
push model for change propagation w.r.t. shared data, thus allowing for group
awareness. Through TOGA’s customizability and its layered architecture the
service can be adapted to a variety of different collaboration scenarios.
Multiple communication protocols (CORBA, UDP/IP, TCP/IP) are supported as well
as basic transaction properties. Our approach enables both, firstly, the
evolution of a set of separate applications to form a cooperative information
system, i.e., it provides a technique towards component-oriented system
engineering. Secondly, it can be exploited as a basic service within
collaboration frameworks to effectively manage common work and information
spaces. In this paper we report on design issues, implementation aspects, and
first experiences gained with the TOGA prototype and its exploitation in an
activity coordination and collaboration framework system.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2000-06&engl=1}
}
@article {ART-1999-03,
author = {J{\"u}rgen Sellentin and Bernhard Mitschang},
title = {{Data-Intensive Intra- and Internet Applications: Experiences using Java and Corba in the World Wide Web}},
journal = {Object-oriented technology in advanced applications},
editor = {E. Bertino and S. Urban},
address = {New York},
publisher = {John Wiley},
volume = {5},
number = {3},
pages = {181--197},
type = {Article in Journal},
month = {October},
year = {1999},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.3.5 Online Information Services},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {Data-Intensive Intra- and Internet Applications: Experiences using Java and
Corba in the World Wide Web.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-1999-03&engl=1}
}
@article {ART-1998-10,
author = {Stefan De{\ss}loch and Theo H{\"a}rder and Nelson Mattos and Bernhard Mitschang and Joachim Thomas},
title = {{Advanced Data Processing in KRISYS: Modeling Concepts, Implementation Techniques, and Client/Server Issues}},
journal = {VLDB Journal},
publisher = {Springer},
volume = {7},
number = {2},
pages = {79--95},
type = {Article in Journal},
month = {May},
year = {1998},
keywords = {Object-oriented modeling concepts; Consistency control; Query processing; Run-time optimization; Client/server architectures},
language = {English},
cr-category = {H Information Systems},
department = {University of Stuttgart, Institute of Parallel and Distributed High-Performance Systems, Applications of Parallel and Distributed Systems},
abstract = {The increasing power of modern computers is steadily opening up new application
domains for advanced data processing such as engineering and knowledge-based
applications. To meet their requirements, concepts for advanced data management
have been investigated during the last decade, especially in the field of
object orientation. Over the last couple of years, the database group at the
University of Kaiserslautern has been developing such an advanced database
system, the KRISYS prototype. In this article, we report on the results and
experiences obtained in the course of this project. The primary objective for
the first version of KRISYS was to provide semantic features, such as an
expressive data model, a set-oriented query language, deductive as well as
active capabilities. The first KRISYS prototype became completely operational
in 1989. To evaluate its features and to stabilize its functionality, we
started to develop several applications with the system. These experiences
marked the starting point for an overall redesign of KRISYS. Major goals were
to tune KRISYS and its query-processing facilities to a suitable client/server
environment, as well as to provide elaborate mechanisms for consistency control
comprising semantic integrity constraints, multi-user synchronization, and
failure recovery. The essential aspects of the resulting client/server
architecture are embodied by the client-side data management needed to
effectively support advanced applications and to gain the required system
performance for interactive work. The project stages of KRISYS properly reflect
the essential developments that have taken place in the research on advanced
database systems over the last years. Hence, the subsequent discussions will
bring up a number of important aspects with regard to advanced data processing
that are of significant general importance, as well as of general applicability
to database systems.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-1998-10&engl=1}
}
@inbook {INBOOK-2019-03,
author = {Christoph Stach and Frank Steimle and Bernhard Mitschang},
title = {{How to Realize Device Interoperability and Information Security in mHealth Applications}},
series = {Biomedical Engineering Systems and Technologies},
address = {Cham},
publisher = {Springer Nature},
series = {Communications in Computer and Information Science},
volume = {1024},
pages = {213--237},
type = {Article in Book},
month = {August},
year = {2019},
isbn = {978-3-030-29195-2},
doi = {10.1007/978-3-030-29196-9_12},
keywords = {mHealth; Device interoperability; Information security; COPD},
language = {English},
cr-category = {H.5.0 Information Interfaces and Presentation General,
K.6.5 Security and Protection,
K.8 Personal Computing},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {More and more people suffer from chronic diseases such as the chronic
obstructive pulmonary disease (COPD). This leads to very high treatment costs
every year, as such patients require a periodic screening of their condition.
However, many of these checks can be performed at home by the patients
themselves. This enables physicians to focus on actual emergencies. Modern
smart devices such as Smartphones contribute to the success of these
telemedical approaches. So-called mHealth apps combine the usability and
versatility of Smartphones with the high accuracy and reliability of medical
devices for home use. However, patients often face the problem of how to
connect medical devices to their Smartphones (the device interoperability
problem). Moreover, many patients reject mHealth apps due to the lack of
control over their sensitive health data (the information security problem).
In our work, we discuss the usage of the Privacy Management Platform (PMP) to
solve these problems. So, we describe the structure of mHealth apps and present
a real-world COPD application. From this application we derive relevant
functions of an mHealth app, in which device interoperability or information
security is an issue. We extend the PMP in order to provide support for these
recurring functions. Finally, we evaluate the utility of these PMP extensions
based on the real-world mHealth app.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2019-03&engl=1}
}
@inbook {INBOOK-2019-02,
author = {Christoph Stach and Bernhard Mitschang},
title = {{Elicitation of Privacy Requirements for the Internet of Things Using ACCESSORS}},
series = {Information Systems Security and Privacy},
address = {Cham},
publisher = {Springer Nature},
series = {Communications in Computer and Information Science},
volume = {977},
pages = {40--65},
type = {Article in Book},
month = {July},
year = {2019},
isbn = {978-3-030-25108-6},
doi = {10.1007/978-3-030-25109-3_3},
keywords = {Permission model; Data-centric; Derivation transparent; Fine-grained; Context-sensitive; Internet of Things; PMP; PATRON},
language = {English},
cr-category = {K.4.1 Computers and Society Public Policy Issues,
D.4.6 Operating Systems Security and Protection},
contact = {Senden Sie eine E-Mail an Christoph.Stach@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Novel smart devices are equipped with various sensors to capture context data.
The Internet of Things (IoT) connects these devices with each other in order to
bring together data from various domains. Due to the IoT, new application areas
come up continuously. For instance, the quality of life and living can be
significantly improved by installing connected and remote-controlled devices in
Smart Homes. Or the treatment of chronic diseases can be made more convenient
for both, patients and physicians, by using Smart Health technologies.
For this, however, a large amount of data has to be collected, shared, and
combined. This gathered data provides detailed insights into the user of the
devices. Therefore, privacy is a key issue for such IoT applications. As
current privacy systems for mobile devices focus on a single device only, they
cannot be applied to a distributed and highly interconnected environment as the
IoT. Therefore, we determine the special requirements towards a permission
models for the IoT. Based on this requirements specification, we introduce
ACCESSORS, a data-centric permission model for the IoT and describe how to
apply such a model to two promising privacy systems for the IoT, namely the
Privacy Management Platform (PMP) and PATRON.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2019-02&engl=1}
}
@inbook {INBOOK-2017-04,
author = {Laura Kassner and Christoph Gr{\"o}ger and Jan K{\"o}nigsberger and Eva Hoos and Cornelia Kiefer and Christian Weber and Stefan Silcher and Bernhard Mitschang},
title = {{The Stuttgart IT Architecture for Manufacturing}},
series = {Enterprise Information Systems: 18th International Conference, ICEIS 2016, Rome, Italy, April 25--28, 2016, Revised Selected Papers},
publisher = {Springer International Publishing},
series = {Lecture Notes in Business Information Processing},
volume = {291},
pages = {53--80},
type = {Article in Book},
month = {June},
year = {2017},
isbn = {978-3-319-62386-3},
doi = {10.1007/978-3-319-62386-3_3},
language = {English},
cr-category = {H.4.0 Information Systems Applications General,
D.2.12 Software Engineering Interoperability,
J.2 Physical Sciences and Engineering},
ee = {https://link.springer.com/chapter/10.1007/978-3-319-62386-3_3},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {The global conditions for manufacturing are rapidly changing towards shorter
product life cycles, more complexity and more turbulence. The manufacturing
industry must meet the demands of this shifting environment and the increased
global competition by ensuring high product quality, continuous improvement of
processes and increasingly flexible organization. Technological developments
towards smart manufacturing create big industrial data which needs to be
leveraged for competitive advantages. We present a novel IT architecture for
data-driven manufacturing, the Stuttgart IT Architecture for Manufacturing
(SITAM). It addresses the weaknesses of traditional manufacturing IT by
providing IT systems integration, holistic data analytics and mobile
information provisioning. The SITAM surpasses competing reference architectures
for smart manufacturing because it has a strong focus on analytics and mobile
integration of human workers into the smart production environment and because
it includes concrete recommendations for technologies to implement it, thus
filling a granularity gap between conceptual and case-based architectures. To
illustrate the benefits of the SITAM{\^a}€™s prototypical implementation, we
present an application scenario for value-added services in the automotive
industry.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-04&engl=1}
}
@inbook {INBOOK-2016-01,
author = {Pascal Hirmer and Bernhard Mitschang},
title = {{FlexMash - Flexible Data Mashups Based on Pattern-Based Model Transformation}},
series = {Rapid Mashup Development Tools},
publisher = {Springer International Publishing},
series = {Communications in Computer and Information Science},
volume = {591},
pages = {12--30},
type = {Article in Book},
month = {February},
year = {2016},
isbn = {978-3-319-28726-3},
doi = {10.1007/978-3-319-28727-0_2},
keywords = {ICWE rapid mashup challenge 2015; Data mashups; Transformation patterns; TOSCA; Cloud computing},
language = {English},
cr-category = {H.2.8 Database Applications,
H.3.0 Information Storage and Retrieval General,
E.1 Data Structures},
ee = {http://dx.doi.org/10.1007/978-3-319-28727-0_2},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, the ad-hoc processing and integration of data is an important issue due
to fast growing IT systems and an increased connectivity of the corresponding
data sources. The overall goal is deriving high-level information based on a
huge amount of low-level data. However, an increasing amount of data leads to
high complexity and many technical challenges. Especially non-IT expert users
are overburdened with highly complex solutions such as Extract-Transform-Load
processes. To tackle these issues, we need a means to abstract from technical
details and provide a flexible execution of data processing and integration
scenarios. In this paper, we present an approach for modeling and pattern-based
execution of data mashups based on Mashup Plans, a domain-specific mashup model
that has been introduced in previous work. This non-executable model can be
mapped onto different executable ones depending on the use case scenario. The
concepts introduced in this paper were presented during the Rapid Mashup
Challenge at the International Conference on Web Engineering 2015. This paper
presents our approach, the scenario that was implemented for this challenge, as
well as the encountered issues during its preparation.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2016-01&engl=1}
}
@inbook {INBOOK-2015-02,
author = {Eva Hoos and Christoph Gr{\"o}ger and Stefan Kramer and Bernhard Mitschang},
title = {{ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes}},
series = {Enterprise Information Systems},
publisher = {Springer International Publishing},
series = {Lecture Notes in Business Information Processing},
volume = {227},
type = {Article in Book},
month = {September},
year = {2015},
language = {English},
cr-category = {H.1.1 Systems and Information Theory},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Mobile enterprise apps provide novel possibilities for the optimization and
redesign of business processes, e.g., by the elimination of paper-based data
acquisitioning or ubiquitous access to up-to-date information. To leverage
these business potentials, a critical success factor is the identification and
evaluation of valueadding MEAs based on an analysis of the business process.
For this purpose, we present ValueApping, a systematic analysis method to
identify usage scenarios for value-adding mobile enterprise apps in business
processes and to analyze their business benefits. We describe the different
analysis steps and corresponding analysis artifacts of ValueApping and discuss
the results of a case-oriented evaluation in the automotive industry.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2015-02&engl=1}
}
@inbook {INBOOK-2013-02,
author = {Sylvia Radesch{\"u}tz and Holger Schwarz and Marko Vrhovnik and Bernhard Mitschang},
title = {{A Combination Framework for Exploiting the Symbiotic Aspects of Process and Operational Data in Business Process Optimization}},
series = {Information Reuse and Integration in Academia and Industry},
publisher = {Springer},
pages = {29--49},
type = {Article in Book},
month = {September},
year = {2013},
language = {German},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {A profound analysis of all relevant business data in a company is necessary for
optimizing business processes effectively. Current analyses typically run
either on business process execution data or on operational business data.
Correlations among the separate data sets have to be found manually under big
effort. However, to achieve a more informative analysis and to fully optimize a
company's business, an efficient consolidation of all major data sources is
indispensable. Recent matching algorithms are insufficient for this task since
they are restricted either to schema or to process matching. We present a new
matching framework to (semi-)automatically combine process data models and
operational data models for performing such a profound business analysis. We
describe the algorithms and basic matching rules underlying this approach as
well as an experimental study that shows the achieved high recall and
precision.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2013-02&engl=1}
}
@inbook {INBOOK-2013-01,
author = {Stefan Silcher and Max Dinkelmann and Jorge Minguez and Bernhard Mitschang},
title = {{Advanced Product Lifecycle Management by Introducing Domain-Specific Service Buses}},
series = {Enterprise Information Systems},
publisher = {Springer Berlin Heidelberg},
series = {Lecture Notes in Business Information Processing},
volume = {141},
pages = {92--107},
type = {Article in Book},
month = {October},
year = {2013},
doi = {10.1007/978-3-642-40654-6_6},
isbn = {978-3-642-40653-9 (Print), 978-3-642-40654-6 (Online)},
keywords = {Product lifecycle management; Service-oriented architecture; Enterprise service bus; Modular IT integration},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Manufacturing companies are operating today in a turbulent market. Permanently
changing preconditions forces the companies to continuously adapt their
business and production processes to get the optimal productivity. Therefore, a
vast number of IT systems are introduced to support tasks along the product
life cycle. These systems are typically isolated and their communication,
cooperation and in special cases also integration results in more and more
overhead and gets quickly unmanageable. Further problems arise, when building
continuous processes within the Product Lifecycle Management (PLM). The
service-based PLM architecture faces these challenges and presents a
homogeneous integration approach based on Enterprise Service Bus (ESB)
technology. The characteristics and findings of our approach are presented and
the inclusion of security features is discussed. A proof-of-concept for the
production planning and the corresponding Production Planning Service Bus are
presented. Finally, the advantages of the service-based approach compared to
traditional integration solutions are pointed out.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2013-01&engl=1}
}
@inbook {INBOOK-2012-01,
author = {Stefan Silcher and Jorge Minguez and Bernhard Mitschang},
title = {{A Novel Approach to Product Lifecycle Management based on Service Hierarchies}},
series = {Recent Trends in Information Reuse and Integration},
address = {Vienna},
publisher = {Springer},
pages = {343--362},
type = {Article in Book},
month = {January},
year = {2012},
isbn = {978-3-7091-0738-6},
keywords = {Product Lifecycle Management; Service Oriented Architecture; Enterprise Service Bus},
language = {English},
cr-category = {D.2.11 Software Engineering Software Architectures,
D.2.13 Software Engineering Reusable Software},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {In grown IT infrastructures for Product Lifecycle Management (PLM),
applications are mostly interconnected using point-to-point interfaces. This
leads to complex and unmanageable infrastructures. A continuous and efficient
integration is a key requirement for successful PLM implementations. The
Service Oriented Architecture (SOA) is a prevalent solution to efficiently
integrate legacy applications and systems into business processes. Its
possibility for loose coupling of services enables the replacement of
point-to-point interfaces, this way reducing the complexity of managing and
maintaining the IT infrastructure. This article introduces a SOA-based solution
to the integration of all PLM phases. We employ an Enterprise Service Bus (ESB)
as service-based integration and communication infrastructure and introduce
three exemplary scenarios to illustrate the benefits of using an ESB as
compared to alternative PLM infrastructures. Furthermore, we describe a service
hierarchy that extends PLM functionality with value-added services by mapping
business processes to data integration services.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2012-01&engl=1}
}
@inbook {INBOOK-2009-04,
author = {Rodrigo Salvador Monteiro and Geraldo Zimbr{\~a}o and Jano Moreira de Souza and Holger Schwarz and Bernhard Mitschang},
title = {{Exploring Calendar-based Pattern Mining in Data Streams}},
series = {Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications},
publisher = {IGI Global},
pages = {1--30},
type = {Article in Book},
month = {June},
year = {2009},
isbn = {978-1-60566-748-5},
language = {English},
cr-category = {H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Finally, Chapter XVI introduces a calendar-based pattern mining that aims at
identifying patterns on specific calendar partitions in continuous data
streams. The authors present how a data warehouse approach can be applied to
leverage calendar-based pattern mining in data streams and how the framework of
the DWFIST approach can cope with tight time constraints imposed by data
streams, keep storage requirements at a manageable level and, at the same time,
support calendar-based frequent itemset mining. The minimum granularity of
analysis, parameters of the data warehouse (e.g. mining minimum support) and
parameters of the database (e.g. extent size) provide ways to tune the load
performance.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2009-04&engl=1}
}
@inbook {INBOOK-2009-01,
author = {Cataldo Mega and Kathleen Krebs and Frank Wagner and Norbert Ritter and Bernhard Mitschang},
title = {{Content-Management-Systeme der n{\"a}chsten Generation}},
series = {Wissens- und Informationsmanagement ; Strategien, Organisation und Prozesse},
address = {Wiesbaden},
publisher = {Gabler Verlag},
pages = {539--567},
type = {Article in Book},
month = {January},
year = {2009},
isbn = {978-3-8349-0937-4},
language = {German},
cr-category = {H.3.2 Information Storage},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {...},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2009-01&engl=1}
}
@inbook {INBOOK-2008-02,
author = {Clemens Dorda and Uwe Heinkel and Bernhard Mitschang},
title = {{A Concept for Applying Model-driven Engineering to Application Integration}},
series = {Challenges In Information Technology Management},
address = {Singapur},
publisher = {World Scientific},
pages = {168--174},
type = {Article in Book},
month = {May},
year = {2008},
isbn = {139789812819062},
isbn = {109812819061},
keywords = {Enterprise Application Integration, Model-Driven Engineering, Software Lifecycle, EAI, MDA, MDE, UML, Unified Modeling Language},
language = {English},
cr-category = {D.2.2 Software Engineering Design Tools and Techniques,
D.2.13 Software Engineering Reusable Software,
I.6.5 Model Development},
contact = {Clemens.Dorda@ipvs.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Modern software for Enterprise Application Integration (EAI) provides tools for
modeling integration scenarios. A drawback of these tools is the lack of
functionality for exchanging or integrating models from different EAI products.
Consequently, developers are only partially able to describe real heterogeneous
IT environments. Our goal is to avoid the creation of these so-called
``integration islands''. For that purpose we present an approach which introduces
an abstract view by technology-independent and multivendor-capable modeling for
both development and maintenance. With this approach, we propose a toolset- and
repository-based refinement of the abstract view to automate implementation
with real products and deployment on real platforms.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2008-02&engl=1}
}
@inbook {INBOOK-2006-02,
author = {Rodrigo Salvador Monteiro and Geraldo Zimbr{\~a}o and Holger Schwarz and Bernhard Mitschang and Jano Moreira De Souza},
title = {{DWFIST: The Data Warehouse of Frequent Itemsets Tactics Approach}},
series = {Processing and Managing Complex Data for Decision Support},
publisher = {Idea Group Publishing},
pages = {1--30},
type = {Article in Book},
month = {April},
year = {2006},
isbn = {1-59140-655-2},
language = {English},
cr-category = {H.2.7 Database Administration,
H.2.8 Database Applications},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {This chapter presents the core of the DWFIST approach, which is concerned with
supporting the analysis and exploration of frequent itemsets and derived
patterns, e.g. association rules, in transactional datasets. The goal of this
new approach is to provide (1) flexible pattern-retrieval capabilities without
requiring the original data during the analysis phase, and (2) a standard
modeling for data warehouses of frequent itemsets allowing an easier
development and reuse of tools for analysis and exploration of itemset-based
patterns. Instead of storing the original datasets, our approach organizes
frequent itemsets holding on different partitions of the original transactions
in a data warehouse that retains sufficient information for future analysis. A
running example for mining calendar-based patterns on data streams is
presented. Staging area tasks are discussed and standard conceptual and logical
schemas are presented. Properties of this standard modeling allow to retrieve
frequent itemsets holding on any set of partitions along with upper and lower
bounds on their frequency counts. Furthermore, precision guarantees for some
interestingness measures of association rules are provided as well.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2006-02&engl=1}
}
@inbook {INBOOK-2005-01,
author = {Bernhard Mitschang and Daniela Nicklas and Matthias Grossmann and Thomas Schwarz and Nicola H{\"o}nle},
title = {{Federating Location-Based Data Services}},
series = {Data Management in a Connected World: Essays Dedicated to Hartmut Wedekind on the Occasion of His 70th Birthday},
address = {Berlin},
publisher = {Springer-Verlag},
series = {Lecture Notes in Computer Science},
volume = {3551},
pages = {17--35},
type = {Article in Book},
month = {June},
year = {2005},
isbn = {3-540-26295-4},
keywords = {federation; context models; nexus; location-based services},
language = {English},
cr-category = {H.2.4 Database Management Systems,
H.3.3 Information Search and Retrieval,
H.3.5 Online Information Services},
ee = {http://www.nexus.uni-stuttgart.de,
http://dx.doi.org/10.1007/11499923_2},
contact = {mitsch@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {With the emerging availability of small and portable devices which are able to
determine their position and to communicate wirelessly, mobile and
spatially-aware applications become feasible. These applications rely on
information that is bound to locations and managed by so-called location-based
data services. Based on a classification of location-based data services we
introduce a service-oriented architecture that is built on a federation
approach to efficiently support location-based applications.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2005-01&engl=1}
}
@inbook {INBOOK-2003-03,
author = {Carmen Constantinescu and Uwe Heinkel and Ralf Rantzau and Bernhard Mitschang},
title = {{A System For Data Change Propagation In Heterogeneous Information Systems}},
series = {Enterprise Information Systems IV},
address = {Dordrecht, Netherlands},
publisher = {Kluwer Academic Publishers},
pages = {51--59},
type = {Article in Book},
month = {January},
year = {2003},
isbn = {1-4020-1086-9},
keywords = {enterprise application integration; manufacturing; repository; propagation},
language = {English},
cr-category = {H.3.4 Information Storage and Retrieval Systems and Software},
contact = {uwe.heinkel@informatik.uni-stuttgart.de},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems},
abstract = {Today, it is common that enterprises manage several mostly heterogeneous
information systems to supply their production and business processes with
data. There is a need to exchange data between the information systems while
preserving system autonomy. Hence, an integration approach that relies on a
single global enterprise data schema is ruled out. This is also due to the
widespread usage of legacy systems. We propose a system, called Propagation
Manager, which manages dependencies between data objects stored in different
information systems. A script specifying complex data transformations and other
sophisticated activities, like the execution of external programs, is
associated with each dependency. For example, an object update in a source
system can trigger data transformations of the given source data for each
destination system that depends on the object. Our system is implemented using
current XML technologies. We present the architecture and processing model of
our system and demonstrate the benefit of our approach by illustrating an
extensive example scenario.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2003-03&engl=1}
}
@proceedings {PROC-2017-05,
editor = {Bernhard Mitschang and Norbert Ritter and Holger Schwarz and Meike Klettke and Andreas Thor and Oliver Kopp and Matthias Wieland},
title = {{Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ``Datenbanken und Informationssysteme'' (DBIS)}},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {LNI},
volume = {P266},
pages = {410},
type = {Proceedings},
month = {March},
year = {2017},
isbn = {978-3-88579-660-2},
language = {English},
cr-category = {H.4.1 Office Automation},
ee = {http://dblp.org/db/conf/btw/btw2017w.html},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems},
abstract = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017) -- Workshopband},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2017-05&engl=1}
}
@proceedings {PROC-2017-04,
editor = {Bernhard Mitschang and Daniela Nicklas and Frank Leymann and Harald Sch{\"o}ning and Melanie Herschel and Jens Teubner and Theo H{\"a}rder and Oliver Kopp and Matthias Wieland},
title = {{Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017), 17. Fachtagung des GI-Fachbereichs ``Datenbanken und Informationssysteme'' (DBIS)}},
publisher = {Gesellschaft f{\"u}r Informatik e.V. (GI)},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
series = {LNI},
volume = {P265},
pages = {637},
type = {Proceedings},
month = {March},
year = {2017},
isbn = {978-3-88579-659-6},
language = {English},
cr-category = {H.4.1 Office Automation},
ee = {http://dblp.org/db/conf/btw/btw2017.html},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems},
abstract = {Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2017)},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2017-04&engl=1}
}
@proceedings {PROC-2011-01,
editor = {Theo H{\"a}rder and Wolfgang Lehner and Bernhard Mitschang and Harald Sch{\"o}ning and Holger Schwarz},
title = {{Datenbanksysteme f{\"u}r Business, Technologie und Web (BTW 2011)}},
publisher = {GI},
institution = {University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Germany},
pages = {760},
type = {Proceedings},
month = {February},
year = {2011},
isbn = {978-3-88579-274-1},
language = {German},
cr-category = {H.2 Database Management},
department = {University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems;
University of Stuttgart, Institute of Parallel and Distributed Systems},
abstract = {The ”BTW” is a biennial conference series focusing on a broad range of topics
addressing database management for Business, Technology, and Web. BTW 2011 as
its 14th event took place in Kaiserslautern from March 2nd to 4th. This volume
contains 24 long and 6 short papers selected for presentation at the
conference, 9 industrial contributions, 3 papers or abstracts for the invited
talks, 12 demonstration proposals, a panel description, and a paper written by
the winner of the dissertation award. The subject areas include core database
technology such as query optimization and indexing, DBMS-related prediction
models, data streams, processing of large data sets, Web-based information
extraction, benchmarking and simulation, and others.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=PROC-2011-01&engl=1}
}