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Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval
Mauro Dragoni, Célia da Costa Pereira, Andrea G.B. Tettamanzi
89 - 100
10.3233/978-1-60750-676-8-89
Frontiers in Artificial Intelligence and Applications
Volume 222: STAIRS 2010
Abstract

This paper presents a vector space model approach to representing documents and queries, which considers concepts instead of terms and uses WordNet as a light ontology. This representation reduces information redundancy with respect to conventional 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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