A MODEL-DRIVEN APPROACH OF ONTOLOGICAL COMPONENTS FOR ON- LINE SEMANTIC WEB INFORMATION RETRIEVAL

Authors

  • HAJER BAAZAOUI ZGHAL Riadi-GDL Laboratory, ENSI Campus Universitaire de la Manouba, Tunis, Tunisia
  • MARIE-AUDE AUFAURE Supelec, Computer Science Department, Plateau du Moulon, 91 192 Gif sur Yvette, France and Inria Paris-Rocquencourt, Axis project, Domaine de Voluceau, 78 153 Le Chesnay Cedex, France
  • NESRINE BEN MUSTAPHA Riadi-GDL Laboratory, ENSI Campus Universitaire de la Manouba, Tunis, Tunisia

Keywords:

Semantic Web, Ontology building, Meta-ontology, ontology construction, ontology learning, on-line information retrieval

Abstract

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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Published

2007-11-28

How to Cite

ZGHAL, H. B. ., AUFAURE, M.-A. ., & MUSTAPHA, N. B. . (2007). A MODEL-DRIVEN APPROACH OF ONTOLOGICAL COMPONENTS FOR ON- LINE SEMANTIC WEB INFORMATION RETRIEVAL. Journal of Web Engineering, 6(4), 309–336. Retrieved from https://journals.riverpublishers.com/index.php/JWE/article/view/4107

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