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Map-Based Filters for Fuzzy Entities in Geographical Information Retrieval

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Natural Language Processing and Information Systems (NLDB 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6716))

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Abstract

Many users employ vague geographical expressions to query Information Retrieval systems. These fuzzy entities do not appear neither in gazetteers nor in geographical databases. Searches such as “Ski resorts in north-central Spain” or “Restaurants near the Teatro Real of Madrid” often do not get the expected results, mainly due to the difficulty of disambiguating expressions like “north of” or “near”. This paper presents a first approach to deal with this kind of fuzzy expressions, with the aim of improving the coverage and accuracy of traditional Information Retrieval systems. Our approach is based on the use of raster images as geographic filters to determine the relevance of the documents depending on the location of places referenced in them.

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Author information

Authors and Affiliations

  1. Department of Software and Computing Systems, University of Alicante, Carretera San Vicente del Raspeig s/n, 03690, Alicante, Spain

    Fernando S. Peregrino, David Tomás & Fernando Llopis

Authors
  1. Fernando S. Peregrino
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  2. David Tomás
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  3. Fernando Llopis
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Editor information

Editors and Affiliations

  1. School of Computing, University of Alicante, 03080, Alicante, Spain

    Rafael Muñoz

  2. Department of Software and Computing Systems, University of Alicante, Aptdo. de Correos 99, 03080, Alicante, Spain

    Andrés Montoyo

  3. CNAM- Laboratoire Cédric, 292 Rue St. Martin, 75141, Paris Cedex 03, France

    Elisabeth Métais

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© 2011 Springer-Verlag Berlin Heidelberg

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Peregrino, F.S., Tomás, D., Llopis, F. (2011). Map-Based Filters for Fuzzy Entities in Geographical Information Retrieval. In: Muñoz, R., Montoyo, A., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2011. Lecture Notes in Computer Science, vol 6716. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22327-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-22327-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22326-6

  • Online ISBN: 978-3-642-22327-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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