Article in Proceedings INPROC-2008-86

BibliographyRadeschütz, Sylvia; Mitschang, Bernhard: An Annotation Approach for the Matching of Process Variables and Operational Business Data Models.
In: Proc. of the 21st International Conference on Computer Applications in Industry and Engineering (CAINE 2008).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-6, english.
Honolulu, USA: The International Society for Computers and Their Applications, November 2008.
Article in Proceedings (Conference Paper).
CR-SchemaD.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)
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.

Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Project(s)BIA
Entry dateSeptember 5, 2008
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