Semantic EPC: Enhancing Process Modeling Using Ontology Languages

Oliver Thomas · Michael Fellmann M.A.

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Business Process Modeling and Analysis Semantic Web and Ontologies Model-Driven Software Engineering Techniques

Abstract

Abstract. In this article we describe a semantic extension of event-driven process chains, with which it is possible to specify the semantics of individual model elements as it is indicated by their label in natural language using concepts of a formal ontology. To do so, a multi-level approach was developed, which comprises an ontology level, a metadata level, as well as a model level. With the approach presented here, ambiguity that is introduced by the use of natural language in semi-formal models can be removed. Moreover, new possibilities of reasoning over business process models are introduced which improve the analysis, search and validation of business processes. 1

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References

2002Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda 2006Process-aware information systems: bridging people and software through process technology 2005Semantic business process management: a vision towards using semantic Web services for business process management 2005Process Modeling using Event‐Driven Process Chains 2007An Ontology Framework for Semantic Business Process Management 2005EPC markup language (EPML): an XML-based interchange format for event-driven process chains (EPC)2006SEMANTIC ALIGNMENT OF BUSINESS PROCESSES

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2016A process ontology based approach to easing semantic ambiguity in business process modeling 2010An ontology-based semantic foundation for ARIS EPCs 2011Semantics-Based Aspect-Oriented Management of Exceptional Flows in Business Processes 2009Supporting Ontology-Based Semantic Annotation of Business Processes with Automated Suggestions 2012Integrating Ordinary Users into Process Management: Towards Implementing Bottom-Up, People-Centric BPM 2015Detecting Common Errors in Event-Driven Process Chains by Label Analysis

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