An ontology-driven approach to support semantic verification in business process modeling
Autor(en): | Fellmann, M. Hogrebe, F. Thomas, O. Nüttgens, M. |
Stichwörter: | Administrative process; Back-ground knowledge; Business process modeling; Formal ontology; Ontology-based representation; Process model; Semantic verification, Systems engineering, Semantics | Erscheinungsdatum: | 2010 | Journal: | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) | Volumen: | 171 | Startseite: | 99 | Seitenende: | 110 | Zusammenfassung: | This paper presents an ontology-driven approach that aims at supporting semantic verification of semi-formal process models. Despite the widespread use of these models in research and practice, the verification of process model information is still a challenging issue. We suggest an ontology-driven approach making use of background knowledge encoded in formal ontologies and rules. In the first step, we develop a model for ontology-based representation of process models. In the second step, we use this model in conjunction with rules and machine reasoning for process model verification. We apply our approach using real-life administrative process models taken from a capital city. |
Beschreibung: | Conference of Modellierung Betrieblicher Informationssysteme - Modellgestutztes Management, MobIS 2010 - Modeling Business Information Systems - Model-Based Management, MobIS 2010 ; Conference Date: 15 September 2010 Through 17 September 2010; Conference Code:97305 |
ISBN: | 9783885792659 | ISSN: | 16175468 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878843338&partnerID=40&md5=c8dc36f47fe5f2371e2c16a6916058da |
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geprüft am 07.05.2024