A Conceptual Representation of Documents and Queries for Information Retrieval Systems by Using Light Ontologies

Abstract : This article presents a vector space model approach to representing documents and queries, based on concepts instead of terms and using WordNet as a light ontology. Such representation reduces information overlap with respect to classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark and on the TREC-7 and TREC-8 Ad-hoc collections demonstrate the effectiveness of the proposed approach.
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Expert Systems with Applications, Elsevier, 2012, 39 (12), pp.10376--10388. <10.1016/j.eswa.2012.01.188>


https://hal.archives-ouvertes.fr/hal-01328709
Contributeur : Célia Da Costa Pereira <>
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Dernière modification le : vendredi 10 juin 2016 - 01:11:25
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Mauro Dragoni, Célia Da Costa Pereira, Andrea G. B. Tettamanzi. A Conceptual Representation of Documents and Queries for Information Retrieval Systems by Using Light Ontologies. Expert Systems with Applications, Elsevier, 2012, 39 (12), pp.10376--10388. <10.1016/j.eswa.2012.01.188>. <hal-01328709>

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