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Multi-criteria Geographic Information Retrieval Model Based on Geospatial Semantic Integration

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GeoSpatial Semantics (GeoS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6631))

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Abstract

The geospatial semantic web development requires search mechanisms to overcome the syntactic comparisons and perform semantic analysis in order to retrieve information conceptually similar to the searched one by the user. This would allow reducing the risk of return empty results no match found when there is no exact correspondence between the query and the information available in data repositories. In this work, we describe an information retrieval model to integrate a semantic criterion with geospatial criteria in a no homogenous vector space. The criteria represent the dimensions of this space; these dimensions are weighted in function of the user’s preferences or his/her profile. The integration is based on a mathematical expression to evaluate the relevance of each result. We present a system that implements the geospatial semantic approach proposed to retrieve information from the domain of cultural tourism, specifically museums. The results show the advantages of integrating geospatial and semantic criteria taking into account user profiles to offer more customized (personalized) service.

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Author information

Authors and Affiliations

  1. Laboratory of Intelligent Processing of Geospatial Information, Centre for Computing Research (CIC), National Polytechnic Institute (IPN), Av. Juan de Dios Bátiz s/n, 07738, Mexico D.F., Mexico

    Walter Renteria-Agualimpia & Sergei Levashkin

  2. Advanced Information Systems Lab (IAAA), Computer Science and Systems Engineering Department, Aragon Institute for Engineering Research (I3A), University of Zaragoza, Edificio Ada Byron, María de Luna, 1, E-50018, Zaragoza, Spain

    Walter Renteria-Agualimpia

Authors
  1. Walter Renteria-Agualimpia
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  2. Sergei Levashkin
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Editor information

Editors and Affiliations

  1. Naval Academy Research Institute, 29240, Brest Cedex 9, France

    Christophe Claramunt

  2. Centro de Investigacion en Computacion, Instituto Politecnico Nacional, 07738, Mexico City, Mexico

    Sergei Levashkin

  3. School of Computer Science and Informatics, University College Dublin, Dublin, Ireland

    Michela Bertolotto

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© 2011 Springer-Verlag Berlin Heidelberg

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Renteria-Agualimpia, W., Levashkin, S. (2011). Multi-criteria Geographic Information Retrieval Model Based on Geospatial Semantic Integration. In: Claramunt, C., Levashkin, S., Bertolotto, M. (eds) GeoSpatial Semantics. GeoS 2011. Lecture Notes in Computer Science, vol 6631. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20630-6_11

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  • DOI: https://doi.org/10.1007/978-3-642-20630-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20629-0

  • Online ISBN: 978-3-642-20630-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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