Un système de recherche d'information pour l'e-learning

Abstract

Nowadays, resources on the web increase considerably. In this immense data warehouse, current information retrieval systems do not allow users to obtain results to their requests that meet exactly their needs. Mainly this is due to indexing techniques used (key words, thesaurus). In order to improve the relevance of information retrieval, we propose in this paper an approach based on the use of an ontology of the domain for indexing a collection of documents and the use of semantic links between documents or fragments of documents of the collection to allow the inference of all relevant documents. This approach is tested on the domain of e-learning of computer science in the context of the semantic web. Some results obtained are also presented. © 2008 Lavoisier.