Bibliograph. Daten | Radeschütz, 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). Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. S. 1-6, englisch. Honolulu, USA: The International Society for Computers and Their Applications, November 2008. Artikel in Tagungsband (Konferenz-Beitrag).
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CR-Klassif. | 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)
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Kurzfassung | 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.
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Abteilung(en) | Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
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Projekt(e) | BIA
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Eingabedatum | 5. September 2008 |
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