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Estimation of Geographic Relevance for Web Objects Using Probabilistic Models

  • Taro Tezuka
  • Hiroyuki Kondo
  • Katsumi Tanaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Geographic web search Gaussian mixture models Topic-level search 

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References

  1. 1.
    Raper, J.: Geographic relevance. Journal of Documentation 63(6), 836–852 (2007)CrossRefGoogle Scholar
  2. 2.
    McCurley, K.S.: Geospatial mapping and navigation of the Web. In: Proceedings of the 10th International World Wide Web Conference, Hong Kong, China, pp. 221–229 (2001)Google Scholar
  3. 3.
    Gao, W., Lee, H.C., Miao, Y.: Geographically focused collaborative crawling. In: Proceedings of the 15th International World Wide Web Conference, Edinburgh, Scotland, pp. 287–296 (2006)Google Scholar
  4. 4.
    Zhou, Y., Xie, X., Wang, C., Gong, Y., Ma, W.Y.: Hybrid index structures for location-based web search. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, Bremen, Germany, pp. 155–162 (2005)Google Scholar
  5. 5.
    Matsumoto, C., Ma, Q., Tanaka, K.: Web information retrieval based on the localness degree. In: Proceedings of the 13th International Conference on Database and Expert Systems Applications, Aix-en-Provence, France, pp. 172–181 (2004)Google Scholar
  6. 6.
    Chen, L., Zhang, L., Jing, F., Deng, K., Ma, W.Y.: Ranking web objects from multiple communities. In: Proceedings of the International Conference on Information and Knowledge Management, Arlington, Virginia, pp. 377–386 (2006)Google Scholar
  7. 7.
    Nie, Z., Ma, Y., Shi, S., Wen, J.R., Ma, W.Y.: Web object retrieval. In: Proceedings of the 16th International World Wide Web Conference, Banff, Canada, pp. 81–90 (2007)Google Scholar
  8. 8.
    Nie, Z., Wen, J.R., Ma, W.Y.: Object-level vertical search. In: Proceedings of the 3rd Biennial Conference on Innovative Data Systems Research, Asilomar, California, pp. 235–246 (2007)Google Scholar
  9. 9.
    Kwok, C., Etzioni, O., Weld, D.S.: Scaling question answering to the Web. In: Proceedings of the 10th International World Wide Web Conference, Hong Kong, pp. 150–161 (2001)Google Scholar
  10. 10.
    Radev, D., Fan, W., Qi, H., Wu, H., G.: Probabilistic question answering on the Web. Journal of the American Society for Information Science and Technology 56(6), 571–583 (2005)CrossRefGoogle Scholar
  11. 11.
    Buyukkokten, O., Cho, J., Garcia-Molina, H., Gravano, L., Shivakumar, N.: Exploiting geographical location information of Web pages. In: Proceedings of the ACM SIGMOD Workshop on the Web and Databases, Philadelphia, Pennsylvania (1999)Google Scholar
  12. 12.
    Gravano, L., Hatzivassiloglou, V., Lichtenstein, R.: Categorizing web queries according to geographical locality. In: Proceedings of the 12th International Conference on Information and Knowledge Management, New Orleans, Lousiana, pp. 325–333 (2003)Google Scholar
  13. 13.
    Mei, Q., Liu, C., Su, H., Zhai, C.: A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In: Proceedings of the 15th International World Wide Web Conference, Edinburgh, Scotland, pp. 533–542 (2006)Google Scholar
  14. 14.
    Tezuka, T., Kurashima, T., Tanaka, K.: Toward tighter integration of web search with a geographic information system. In: Proceedings of the 15th World Wide Web Conference, Edinburgh, Scotland, pp. 277–286 (2006)Google Scholar
  15. 15.
    Davis, C.A., Fonseca, F.T.: Assessing the certainty of locations produced by an address geocoding system. Geoinformatica 11(1), 103–129 (2007)CrossRefGoogle Scholar
  16. 16.
    Amitay, E., Har’El, N., Sivan, R., Soffer, A.: Web-a-Where: geotagging web content. In: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, United Kingdom, pp. 273–280 (2004)Google Scholar
  17. 17.
    Lieberman, M.D., Sperling, J.: STEWARD: Architecture of a spatio-textual search engine. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, Seattle, Washington, Article No. 25 (2007)Google Scholar
  18. 18.
    Sengar, V., Joshi, T., Joy, J., Prakash, S., Toyama, K.: Robust location search from text queries. In: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems, Seattle, Washington, Article No. 24 (2007)Google Scholar
  19. 19.
    Schneider, M.: Geographic data modeling: Fuzzy topological predicates, their properties, and their integration into query languages. In: Proceedings of the 9th ACM international symposium on advances in geographic information systems, Atlanta, Georgia, pp. 9–14 (2001)Google Scholar
  20. 20.
    Shi, W., Liu, K.: A fuzzy topology for computing the interior, boundary, and exterior of spatial objects quantitatively in GIS. Computers & Geosciences 33(7), 898–915 (2007)CrossRefGoogle Scholar
  21. 21.
    Bishop, C.M.: Pattern recognition and machine learning. Springer, Heidelberg (2006)zbMATHGoogle Scholar
  22. 22.
    Bilmes, J.A.: A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian Mixture and Hidden Markov Models, Technical Report, University of Berkeley, ICSI-TR-97-021 (1997)Google Scholar
  23. 23.
    van Rijsbergen, C.J.: Information Retrieval - Second Edition. Butterworth & Co Publishers Ltd (1979)Google Scholar
  24. 24.
    Geographical Survey Institute of Japan, http://www.gsi.go.jp/ENGLISH/
  25. 25.
  26. 26.
  27. 27.
    Google Maps, API, http://google.com/apis/maps/
  28. 28.
  29. 29.
  30. 30.
    Yahoo! Local Maps, http://map.yahoo.com/
  31. 31.
    Live Search Maps, http://maps.live.com/

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Taro Tezuka
    • 1
  • Hiroyuki Kondo
    • 2
  • Katsumi Tanaka
    • 2
  1. 1.Institute of Science and EngineeringRitsumeikan UniversityShigaJapan
  2. 2.Graduate School of InformaticsKyoto UniversityKyotoJapan

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