Title :
Methodological Aspects of Semantics Enrichment in Model Driven Architecture
Author :
Diouf, M. ; Musumbu, K. ; Maabout, S.
Author_Institution :
LaBRI, CNRS, Talence
Abstract :
The Semantic Web is a vision for the future of the Web in which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web. An ontology defines the terms used to describe and represent an area of knowledge. Ontologies are used by people, databases, and applications that need to share domain information (a domain is just a specific subject area or area of knowledge, like medicine, tool manufacturing, real estate, automobile repair, financial management, etc.). In this paper we combine this two concepts to annotate models with meta-data according to the corresponding domain ontology with all the new extracted information in order to improve the performance of the entire system.
Keywords :
meta data; ontologies (artificial intelligence); semantic Web; annotate models; meta-data; methodological aspects; model driven architecture; ontologies; semantic Web; semantics enrichment; Automobile manufacture; Databases; Financial management; OWL; Ontologies; Resource description framework; Semantic Web; Service oriented architecture; Vocabulary; XML; Business rules; Model Driven Architecture; Semantic Web; knowledge based systems; reasoning;
Conference_Titel :
Internet and Web Applications and Services, 2008. ICIW '08. Third International Conference on
Conference_Location :
Athens
Print_ISBN :
978-0-7695-3163-2
Electronic_ISBN :
978-0-7695-3163-2
DOI :
10.1109/ICIW.2008.34