Merging model driven architecture and semantic Web for business rules generation

被引:0
|
作者
Diouf, Mouhamed [1 ]
Maabout, Sofian [1 ]
Musumbu, Kaninda [1 ]
机构
[1] Univ Bordeaux 1, LaBRI, UMR 5800, CNRS, Domaine Univ 351, F-33405 Talence, France
关键词
artificial intelligence; business rules; knowledge based systems; model driven architecture; knowledge representation; reasoning; ontology; semantic Web;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Business rules are statements that express (certain parts of) a business policy, defining terms and defining or constraining the operation of an entreprise, in a declarative manner. The business rule approach is more and more used due to the fact that in such systems, business experts can maintain the complex behavior of their application in a "zero development" environment. There exist more and more business rule management systems (BRMS) and rule engines, adding new needs in the business rules community. Currently the main requirement in this domain is having a standard language for representing business rules, facilitating their integration and share. Works for solving this lack are in progress at e.g OMG and W3C. 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.
引用
收藏
页码:118 / +
页数:4
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