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Journal Articles Expert Systems with Applications Year : 2012

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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Dates and versions

hal-01328709 , version 1 (08-06-2016)

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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, 2012, 39 (12), pp.10376--10388. ⟨10.1016/j.eswa.2012.01.188⟩. ⟨hal-01328709⟩
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