Generating and Merging Business Rules by Weaving MDA and Semantic Web

Mouhamed Diouf, Sofian Maabout, Kaninda Musumbu


Information systems (IS) are getting more and more complex. The design of such systems requires various individuals with varied expertises. The requirements expressed, when the design of such a system is decided, may change upon time. These changes may even occur very often. Thus, the more the system is flexible, the easier the upgrades will be. One of the standard ways to design flexible systems is the use of the so called “business rules” whose aim is the separation of business from system in an application. Business rules define and constrain business processes in enterprizes. Therefore, many business-governing rules have to be implemented in business-supporting applications, in order to reflect the real business environment. The aim of this paper is to give the way to automatically generate and merge a part of the business rules by combining Model Driven Architecture and the Semantic Web using the Ontology Definition Metamodel.


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Paper Citation

in Harvard Style

Diouf M., Maabout S. and Musumbu K. (2007). Generating and Merging Business Rules by Weaving MDA and Semantic Web . In Proceedings of the 3rd International Workshop on Model-Driven Enterprise Information Systems - Volume 1: MDEIS, (ICEIS 2007) ISBN 978-989-8111-00-5, pages 19-28. DOI: 10.5220/0002427000190028

in Bibtex Style

author={Mouhamed Diouf and Sofian Maabout and Kaninda Musumbu},
title={Generating and Merging Business Rules by Weaving MDA and Semantic Web},
booktitle={Proceedings of the 3rd International Workshop on Model-Driven Enterprise Information Systems - Volume 1: MDEIS, (ICEIS 2007)},

in EndNote Style

JO - Proceedings of the 3rd International Workshop on Model-Driven Enterprise Information Systems - Volume 1: MDEIS, (ICEIS 2007)
TI - Generating and Merging Business Rules by Weaving MDA and Semantic Web
SN - 978-989-8111-00-5
AU - Diouf M.
AU - Maabout S.
AU - Musumbu K.
PY - 2007
SP - 19
EP - 28
DO - 10.5220/0002427000190028