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An Ontological Representation of Documents and Queries for Information Retrieval Systems

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Trends in Applied Intelligent Systems (IEA/AIE 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6097))

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.

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Author information

Authors and Affiliations

  1. Dipartimento di Tecnologie dell’Informazione, Università degli Studi di Milano, Via Bramante 65, 26013, Crema (CR), Italy

    Mauro Dragoni, Célia Da Costa Pereira & Andrea G. B. Tettamanzi

Authors
  1. Mauro Dragoni
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  2. Célia Da Costa Pereira
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  3. Andrea G. B. Tettamanzi
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Editor information

Editors and Affiliations

  1. Dept. of Computing and Numerical Analysis, University of Cordoba, Campus Universitario de Rabanales, Einstein Building, 3rd floor,, 14071, Cordoba, Spain

    Nicolás García-Pedrajas

  2. Dept. of Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    Francisco Herrera

  3. School of Computing, University of the West of Scotland, PA1 2BE, Paisley, UK

    Colin Fyfe

  4. Dept. Computer Science and Artificial Intelligence, ETS de Ingenierias Informática y de Telecomunicación, University of Granada, 18071, Granada, Spain

    José Manuel Benítez

  5. Department of Computer Science, Texas State University-San Marcos, 601 University Drive, TX 78666-4616, San Marcos, USA

    Moonis Ali

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Dragoni, M., Da Costa Pereira, C., Tettamanzi, A.G.B. (2010). An Ontological Representation of Documents and Queries for Information Retrieval Systems. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds) Trends in Applied Intelligent Systems. IEA/AIE 2010. Lecture Notes in Computer Science(), vol 6097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13025-0_57

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  • DOI: https://doi.org/10.1007/978-3-642-13025-0_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13024-3

  • Online ISBN: 978-3-642-13025-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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