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Estimation of Geographic Relevance for Web Objects Using Probabilistic Models

  • Conference paper
Web and Wireless Geographical Information Systems (W2GIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5373))

Abstract

The rapidly increasing use of geographically restrictive web search has made determination of the geographic relevance of web content an important task. We have developed a method that uses Gaussian mixture models to estimate the geographic relevance of web pages and arbitrary topics and have implemented a visualization interface that maps pages and topics to geographic space. The system enables the user to retrieve web pages and topics expressed on the Web that are relevant to an arbitrary geographic area.

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Author information

Authors and Affiliations

  1. Institute of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu-shi, Shiga, 525-8577, Japan

    Taro Tezuka

  2. Graduate School of Informatics, Kyoto University, Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Hiroyuki Kondo & Katsumi Tanaka

Authors
  1. Taro Tezuka
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  2. Hiroyuki Kondo
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  3. Katsumi Tanaka
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Editor information

Editors and Affiliations

  1. University College Dublin, Ireland

    Michela Bertolotto

  2. Naval Academy Research Institute, Brest Naval, France

    Cyril Ray

  3. Department of Geography, East China Normal University, Shanghai, China

    Xiang Li

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© 2008 Springer-Verlag Berlin Heidelberg

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Tezuka, T., Kondo, H., Tanaka, K. (2008). Estimation of Geographic Relevance for Web Objects Using Probabilistic Models. In: Bertolotto, M., Ray, C., Li, X. (eds) Web and Wireless Geographical Information Systems. W2GIS 2008. Lecture Notes in Computer Science, vol 5373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89903-7_12

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  • DOI: https://doi.org/10.1007/978-3-540-89903-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89902-0

  • Online ISBN: 978-3-540-89903-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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