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GeoST: Geographic, Thematic and Temporal Information Retrieval from Heterogeneous Web Data Sources

  • Conference paper
Web and Wireless Geographical Information Systems (W2GIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6574))

Abstract

Geographical data commonly available on the Web is often related to thematic and temporal data, and represented in heterogeneous data sources. This makes geographical information retrieval tasks non straightforward processes as the information available is often unstructured. The research presented in this paper introduces an ontology-driven approach whose objective is to facilitate retrieval of geographical information on the Web. Spatio- temporal queries are categorized in order to solve questions related to several complementary modeling dimensions: when, what andwhere. The retrieval strategy is based on the exploration of a spatio-temporal ontology, and implemented by a search engine. The whole approach is exemplified by a prototype development, and the results obtained are evaluated by a metrics based on recall and precision measures. The experimental findings show that the strategy is effective for the types of spatio-temporal queries used by our geographical retrieval approach.

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Authors and Affiliations

  1. Colonia Barrio la Laguna Ticomán Delegación Gustavo A. Madero, UPIITA – IPN Avenida Instituto Politécnico Nacional No. 2580, CP. 07340, Mexico

    Felix Mata

  2. Naval Academy Research Institute, Brest, France

    Christophe Claramunt

Authors
  1. Felix Mata
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  2. Christophe Claramunt
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Department of Social Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Katsumi Tanaka

  2. Telecommunications Research Center Vienna (ftw.), Donau-City-Straße 1/3, 1220, Vienna, Austria

    Peter Fröhlich

  3. Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology, 3-5 Hikaridai, Seika-cho, 619-0289, Soraku-gun, Kyoto, Japan

    Kyoung-Sook Kim

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Mata, F., Claramunt, C. (2011). GeoST: Geographic, Thematic and Temporal Information Retrieval from Heterogeneous Web Data Sources. In: Tanaka, K., Fröhlich, P., Kim, KS. (eds) Web and Wireless Geographical Information Systems. W2GIS 2011. Lecture Notes in Computer Science, vol 6574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19173-2_3

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  • DOI: https://doi.org/10.1007/978-3-642-19173-2_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19172-5

  • Online ISBN: 978-3-642-19173-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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