|Bibliography||Ma, Zhilei; Wetzstein, Branimir; Anicic, Darko; Heymans, Stijn; Leymann, Frank: Semantic Business Process Repository. |
In: Hepp, Martin (ed.); Hinkelmann, Knut (ed.); Karagiannis, Dimitris (ed.); Klein, Rüdiger (ed.); Stojanovic, Nenad (ed.): Proceedings of the Workshop on Semantic Business Process and Product Lifecycle Management (SBPM 2007) in conjunction with the 3rd European Semantic Web Conference (ESWC 2007) Innsbruck, Austria, June 7, 2007.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
CEUR Workshop Proceedings; 251, pp. 92-100, english.
Innsbruck: CEUR Workshop Proceedings, July 7, 2007.
Article in Proceedings (Workshop Paper).
|CR-Schema||H.4.1 (Office Automation)|
|Keywords||Business Process Management (BPM), Business Process Repository, Semantic Business Process Management (SBPM), Semantic Business Process Repository, Ontologies, Reasoning|
Semantic Business Process Management (SBPM) utilizes semantic technologies to achieve more automation throughout the BPM lifecycle. An integral part of the SBPM infrastructure is a semantic business process repository, which is used for storage and management of business process modeling artifacts. As in SBPM business process models are based on process ontologies, the semantic business process repository has additional requirements towards support of reasoning and querying capabilities. In this paper, we first describe the functionalities the semantic business process repository has to provide. We then introduce a solution based on the Integrated Rule Inference System (IRIS) on top of a relational database for realizing the storage mechanism and query processing. Finally, we present the overall architecture of the semantic business process repository.
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|Department(s)||University of Stuttgart, Institute of Architecture of Application Systems|
|Entry date||June 15, 2007|