|Bibliography||Brodt, Andreas: A mobile data management architecture for interoperability of resource and context data. |
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Doctoral Thesis (2013).
195 pages, english.
|CR-Schema||H.2 (Database Management)|
H.3.3 (Information Search and Retrieval)
C.2.4 (Distributed Systems)
E.2 (Data Storage Representations)
|Keywords||Architektur, Informationssystem, Semantic Web, Kontext, Geoinformation, Rechnernetz, Bluetooth, Browser, WWW|
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.
As a contribution for the platform architecture we present an approach for efficient record-oriented queries in RDF triple stores. We achieve considerably faster query times for typical application queries. This is important, as the platform mandates all applications to manage their data in the same RDF database. Furthermore, we address the integration of spatial query processing into RDF triple stores, as lots of data on mobile devices possess spatial references. We present a data and query model, an implementation approach, and a method for dedicated cardinality estimation of spatial RDF queries. As a further contribution we propose the concept of Ad-hoc Smart Spaces to enable spontaneous data exchange between mobile devices. We present an evaluation of resource discovery protocols in Bluetooth-based scenarios. Finally we addresses interoperability with web applications, for which we specify a web browser interface to access the repository of our architecture. We integrate server-sided data using mashups and apply our results in the area of location-based browser games.
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|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems|
|Superviser(s)||Mitschang, Bernhard (Prof. Dr.)|
|Entry date||November 28, 2013|