Exploiting and Extending a Semantic Resource for Conceptual Indexing
Résumé
Information Retrieval Systems that compute a matching between a document and a query based on terms intersection, cannot reach relevant documents that do not share any terms with the query. The objective of this study is to propose a solution to this problem in the context of conceptual indexing. We study an ontology-based matching that exploits links between concepts. We propose a model that exploits the weighted links of an ontology. We also propose to extend the links of the ontology to reflect the structural ambiguity of some concepts. A validation of our proposal is made on the test collection ImagCLEFMed 2005 and the external resource UMLS 2005.
Origine : Fichiers produits par l'(les) auteur(s)
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