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

Show full item record

Page view(s)

2
Last Week
0
Last month
0
checked on Apr 20, 2024

Google ScholarTM

Check

Altmetric