Extracting Personalised Ontology from Data-Intensive Web Application: An HTML Forms-Based Reverse Engineering Approach - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Informatica Année : 2007

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

Résumé

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 dataintensive web application. This semantics is exploited to produce over several steps, a personalised ontology.
Plus tard
Fichier non déposé

Dates et versions

hal-01536333 , version 1 (10-06-2017)

Identifiants

  • HAL Id : hal-01536333 , version 1

Citer

Sidi Mohamed Benslimane, Mimoun Malki, Mustapha Kamel Rahmouni, Djamal Benslimane. Extracting Personalised Ontology from Data-Intensive Web Application: An HTML Forms-Based Reverse Engineering Approach. Informatica, 2007, 4, 18, pp.511-534. ⟨hal-01536333⟩
63 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More