NDLI: Improving Business Process Model Quality Using Domain Ontologies

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Improving Business Process Model Quality Using Domain Ontologies

Content Provider	Springer Nature Link
Author	Si Said Cherfi, Samira Ayad, Sarah Comyn Wattiau, Isabelle
Copyright Year	2013
Abstract	This paper addresses the issue of improving quality of business process (BP) models by exploiting domain knowledge. Indeed, business process models reflect the business processes of companies. The success of these processes has a direct and undeniable impact on business operations success. Managing them through their underlying models helps improving their effectiveness, consistency, and transparency. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, several studies from the literature showed that in experienced system analysts often produce low-level quality. This situation is partly due to lack of domain knowledge. 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. We suggest to use ontologies as a mean to capture domain knowledge and meta-modeling techniques to deal with BP models independently of languages in which they are expressed. Our contribution 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 Object Constraint Language mapping rules is provided. A simple case study illustrates the process.
Starting Page	75
Ending Page	87
Page Count	13
File Format	PDF
ISSN	18612032
Journal	Journal on Data Semantics
Volume Number	2
Issue Number	2-3
e-ISSN	18612040
Language	English
Publisher	Springer-Verlag
Publisher Date	2013-06-04
Publisher Place	Berlin, Heidelberg
Access Restriction	Subscribed
Subject Keyword	Quality improvement Domain knowledge Semantic quality Database Management Information Storage and Retrieval Artificial Intelligence (incl. Robotics) Business Information Systems Information Systems Applications (incl. Internet) Business process modeling Domain ontology
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Networks and Communications Information Systems

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