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Detecting Compliance with Business Rules in Ontology- Based Process Modeling

Jan Marco Leimeister; Walter Brenner (Hrsg). 13. Internationale Tagung Wirtschaftsinformatik „Towards Thought Leadership in Digital Transformation“: 12. - 15. Februar 2017, Universität St.Gallen. St.Gallen: Institut für Wirtschaftsinformatik (IWI-HSG) Universität St.Gallen 2017 S. 226 - 240

Erscheinungsjahr: 2017

Publikationstyp: Diverses (Konferenzbeitrag)

Sprache: Englisch

Website
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Inhaltszusammenfassung


Extending business processes with semantic annotations has gained recent attention. This comprises relating process elements to ontology elements in order to create a shared conceptual and terminological understanding. In business process modeling, processes may have to adhere to a multitude of rules. A common way to detect compliance automatedly is studying the artifact of the process model itself. However, if an ontology exists as an additional artifact, it may prove beneficial to exploit t...Extending business processes with semantic annotations has gained recent attention. This comprises relating process elements to ontology elements in order to create a shared conceptual and terminological understanding. In business process modeling, processes may have to adhere to a multitude of rules. A common way to detect compliance automatedly is studying the artifact of the process model itself. However, if an ontology exists as an additional artifact, it may prove beneficial to exploit this structure for compliance detection, as it provides a rich specification of the business process. We therefore propose an approach that models a rules-layer ontop of an ontology. Said rules-layer is implemented by a logic program and can be used to reason about the compliance of an underlying ontology. Our approach allows ad-hoc access to external ontologies, other than similar approaches that are reliant on a redundant logical representation of process model elements.» weiterlesen» einklappen

  • Business Ontologies
  • Business Process Models
  • Business Rules
  • Compliance Management

Autoren


Corea, Carl (Autor)

Klassifikation


DDC Sachgruppe:
Informatik

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