Towards a semantic quality based approach for business process models improvement

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Towards a semantic quality based approach for business process models improvement

Ayad, Sarah, Cherfi, Samira Si-Said and Comyn-Wattiau, Isabelle 2012, Towards a semantic quality based approach for business process models improvement, in ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012, ACIS, [Geelong, Vic.], pp. 1-11.

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Title	Towards a semantic quality based approach for business process models improvement
Author(s)	Ayad, Sarah Cherfi, Samira Si-Said Comyn-Wattiau, Isabelle
Conference name	Australasian Conference on Information Systems (23rd : 2012 : Geelong, Victoria)
Conference location	Geelong, Victoria
Conference dates	3-5 Dec. 2012
Title of proceedings	ACIS 2012 : Location, location, location : Proceedings of the 23rd Australasian Conference on Information Systems 2012
Editor(s)	Lamp, John orcid.org/0000-0003-1891-0400
Publication date	2012
Conference series	Australasian Conference on Information Systems
Start page	1
End page	11
Total pages	11
Publisher	ACIS
Place of publication	[Geelong, Vic.]
Keyword(s)	business process modeling model quality semantic quality domain knowledge domain ontology quality evaluation quality improvement
Summary	Business process (BP) modeling aims at a better understanding of processes, allowing deciders to improve them. We propose to support this modeling with an approach encompassing methods and tools for BP models quality measurement and improvement. In this paper we focus on semantic quality. The latter is evaluated by aligning BP model concepts with domain knowledge. The alignment is conducted thanks to meta-models. We also define validation rules for checking the completeness of BP models. A medical case study illustrates the main steps of our approach.
Notes	Reproduced with the kind permission of the copyright owner.
Language	eng
Field of Research	089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective	970108 Expanding Knowledge in the Information and Computing Sciences
Related work	DU:30049020
Copyright notice	©2012, The Authors/ACIS
Free to Read?	Yes
Persistent URL	http://hdl.handle.net/10536/DRO/DU:30049099

Document type:	Conference Paper
Collections:	ACIS : Proceedings of the 23rd Australasian Conference on Information Systems 2012 Open Access Collection


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