Ontology-based information retrieval for e-Learning of computer science

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, an ontology-based approach called OBIREX is proposed in this paper. OBIREX is based on the use of ontology of the domain for indexing a collection of documents and the use of semantic links between documents 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.