DocumentCode :
1636137
Title :
Business rules generation methods by merging model driven architecture and web semantics
Author :
Musumbu, Kaninda ; Diouf, Mouhamed ; Maabout, Sofian
Author_Institution :
LaBRI, Univ. Bordeaux 1, Talence, France
fYear :
2010
Firstpage :
33
Lastpage :
36
Abstract :
The increasing complexity of the information systems must be taking into account for new technologies, and the appearance of new types of requirements raise new problems that the traditional engineering approaches of the information systems cannot always solve in an adapted way. Business Rules constitute a key element of the Semantic Web vision, allowing integration, derivation, and transformation of data from multiple sources in a distributed, transparent and scalable manner. The aim of this paper is to propose a way to automatically generate a part of the business rules by combining concepts coming from Model Driven Architecture and Semantic Web using the Ontology Definition Metamodel.
Keywords :
business data processing; information systems; ontologies (artificial intelligence); semantic Web; software architecture; Web semantics; business rules generation; data derivation; data integration; data transformation; information system; model driven architecture; ontology definition metamodel; semantic Web; Business; Computational modeling; OWL; Ontologies; Semantics; Unified modeling language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Sciences (ICSESS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6054-0
Type :
conf
DOI :
10.1109/ICSESS.2010.5552332
Filename :
5552332
Link To Document :
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