A conceptual representation of documents and queries for information retrieval systems by using light ontologies

  • Authors:
  • Mauro Dragoni;Célia da Costa Pereira;Andrea G. B. Tettamanzi

  • Affiliations:
  • Fondazione Bruno Kessler, Via Sommarive 18 Povo, I-38123 Trento, Italy;Université de Nice Sophia-Antipolis/CNRS, UMR-6070, Laboratoire I3S, 06903 Sophia Antipolis, France;Universití degli Studi di Milano, DTI, Via Bramante 65, 26013 Crema, CR, Italy

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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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.