A MODEL-DRIVEN APPROACH OF ONTOLOGICAL COMPONENTS FOR ON- LINE SEMANTIC WEB INFORMATION RETRIEVAL
Keywords:
Semantic Web, Ontology building, Meta-ontology, ontology construction, ontology learning, on-line information retrievalAbstract
With the development of Web engineering and the advent of the Semantic Web, adding a semantic dimension to the Web by the deployment of ontologies has contributed to solve many problems. Ontologies specify the knowledge shared by a community of a target domain in an explicit and formal way. The present work deals with the problem of ontology construction for the Semantic Web. The objective of the paper is to propose a solution for the representation of Web knowledge by means of ontologies as well as to define an approach to their semi-automatic construction. The implementation and the experimentation of the proposition were achieved by the development of a framework, called “OntoCoSemWeb" and an On-Line Information Retrieval tool using the generated ontologies. An evaluation and an analysis of the results of this approach were carried out.
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