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INFORMATICA, 2007, Vol. 18, No. 4, 511-534
© Institute of Mathematics and Informatics,

ISSN 0868-4952

Extracting Personalised Ontology from Data-Intensive Web Application: an HTML Forms-Based Reverse Engineering Approach

Sidi Mohamed BENSLIMANEa, Mimoun MALKIa, Mustapha Kamal RAHMOUNIb, Djamal BENSLIMANEc

aComputer Science Department, University of Sidi Bel Abbes B.P 89 Sidi Bel Abbes, 22000 Algeria E-mail: benslimane@univ-sba.dz, malki@univ-sba.dz

bUniversity of Oran BP 1524 El Mnaouer, 31000, ORAN, Algeria E-mail: rahmouni@mail.univ-oran.dz

cLIRIS Laboratory, University of Claude Bernard Lyon 8 Bld Niels Bohr, 69622, Villeurbanne Cedex, France E-mail: djamal.benslimane@liris.cnrs.fr

Abstract

The advance of the Web has significantly and rapidly changed the way of information organization, sharing and distribution. The next generation of the web, the semantic web, seeks to make information more usable by machines by introducing a more rigorous structure based on ontologies. In this context we try to propose a novel and integrated approach for a semi-automated extraction of ontology-based semantic web from data-intensive web application and thus, make the web content machine-understandable. Our approach is based on the idea that semantics can be extracted by applying a reverse engineering technique on the structures and the instances of HTML-forms which are the most convenient interface to communicate with relational databases on the current data-intensive web application. This semantics is exploited to produce over several steps, a personalised ontology.

Keywords:

semantic web, reverse engineering, ontology, HTML-forms, data-intensive web application

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