An ontological representation of documents and queries for information retrieval systems

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

  • Affiliations:
  • Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione, Crema, CR, Italy;Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione, Crema, CR, Italy;Università degli Studi di Milano, Dipartimento di Tecnologie dell'Informazione, Crema, CR, Italy

  • Venue:
  • IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
  • Year:
  • 2010

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Abstract

This paper presents a vector space model approach, for representing documents and queries, using concepts instead of terms and WordNet as a light ontology. This way, information overlap is reduced with respect to the classic semantic expansion techniques. Experiments carried out on the MuchMore benchmark showed the effectiveness of the approach.