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[SAC12a] Aligning Business Process Models and Domain Knowledge: A Meta-Modeling Approach

Conférence Internationale avec comité de lecture : 16th East-European Conference on Advances in Databases and Information Systems (ADBIS'12), June 2012, Vol. 186, pp.45-56, Series Advances in Intelligent Systems and Computing series, Poznan, Poland, (DOI: 10.1007/978-3-642-32741-4_5)

Mots clés: Information Systems Quality, Information Systems, Domain knowledge, Domain ontology, Semantic quality, Business process modeling, Quality evaluation, Quality improvement

Résumé: In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce. In this paper we propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models. This approach relies on domain ontologies as a mean to capture domain knowledge and on meta-modeling techniques. The main contribution of this paper is threefold: 1) the meta-models describing both a domain ontology and a BP model are described, 2) the alignment between the concepts of both meta-models is defined and illustrated, 3) a set of OCL mapping rules is provided. A simple case study illustrates the process.

Equipe: isid

BibTeX

@inproceedings {
SAC12a,
title="{Aligning Business Process Models and Domain Knowledge: A Meta-Modeling Approach}",
author=" S. Si-Said Cherfi and S. Ayad and I. Comyn-Wattiau ",
booktitle="{16th East-European Conference on Advances in Databases and Information Systems (ADBIS'12)}",
year=2012,
edition="Springer",
month="June",
series="Advances in Intelligent Systems and Computing series",
volume=186,
pages="45-56",
address="Poznan, Poland",
doi="10.1007/978-3-642-32741-4_5",
}