Skip to main content
SpringerLink
Log in

A Localness-Filter for Searched Web Pages

  • Conference paper
  • First Online:
Web Technologies and Applications (APWeb 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2642))

Included in the following conference series:

Abstract

With the spreading of the Internet, information about our daily life and our residential region is becoming to be more and more active on the WWW (World Wide Web). That’s to say, there are a lot of Web pages, whose content is ‘local’ and may only interest residents of a narrow region. The conventional information retrieval systems and search engines, such as Google[1], Yahoo[2], etc., are very useful to help users finding interesting information. However, it’s not yet easy to find or exclude ‘local’ information about our daily life and residential region. In this paper, we propose a localness-filter for searched Web pages, which can discover and exclude information about our daily life and residential region from the searched Web pages. We compute the localness degree of a Web page by 1) estimating its region dependence: the frequency of geographical words and the content coverage of this Web page, and 2) estimating the ubiquitousness of its topic: in other words, we estimate if it is usual information that appears everyday and everywhere in our daily life.

This research is partly supported by the Japanese Ministry of Education, Culture, sports, Science and Technology under Grant-in-Aid for Scientific Research on “New Web Retrieval Services Based on Discovery of Web Semantic Structures”, No. 14019048, and “Multimodal Information Retrieval, Presentation, and Generation of Broadcast Contents for Mobile Environments”, No. 14208036.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Google. http://www.google.com/, 2002.

  2. Yahoo! Japan. http://www.yahoo.co.jp/, 2002.

  3. Qiang Ma, Kazutoshi Sumiya, and Katsumi Tanaka. Information filtering based on time-series features for data dissemination systems (in Japanese). IPSJ TOD7, 41(SIG6(TOD7)):46–57, 2000.

    Google Scholar 

  4. Qiang Ma, Shinya Miyazaki, and Katsumi Tanaka. Webscan: Discovering and notifying important changes of web sites. proc. of DEXA2001, LNCS 2113, pages 587–598, 2001.

    Google Scholar 

  5. Shinya Miyazaki, Qiang Ma, and Katsumi Tanaka. Webscan: Content-based change discovery and broadcast-notification of web sites (in Japanese). IPSJ TOD10, 42(SIG8(TOD10)):96–107, 2001.

    Google Scholar 

  6. Yahoo!regional. http://local.yahoo.co.jp/, 2002.

  7. MACHIgoo. http://machi.goo.ne.jp/, 2002.

  8. Chiyako Matsumoto, Ma Qiang, and Katsumi Tanaka. Web information retrieval based on the localness degree. proc. of DEXA 2002, LNCS 2453, pages 172–181, 2002.

    Google Scholar 

  9. Antonin Guttman. R-trees: A dynamic index structure for spatial searching. Proc. ACM SIGMOD Conference on Management of Data, 14(2):47–57, 1984.

    Article  Google Scholar 

  10. Carlo Zaniolo, Stefano Ceri, Christos Faloutsos, Richard T. Snodgrass, V. S. Subrahmanian, and Roberto Zicari. Advanced Database Systems. The Morgan Kaufmann, 1997.

    Google Scholar 

  11. Nobuyuki Miura, Katsumi Takahashi, Seiji Yokoji, and Kenichi Shima. Location oriented information integration — mobile info search 2 experiment — (in Japanese). The 57th National Convention of IPSJ, 3: 637–638, 1998.

    Google Scholar 

  12. KOKONONET. http://www.kokono.net/, 2002.

  13. Orkut Buyukkokten, Junghoo Cho, Hector Garcia-Molina, Luis Gravano, and Narayanan Shivakumar. Exploiting geographical location information of web pages. proc. of WebDB (Informal Proceedings), pages 91–96, 1999.

    Google Scholar 

  14. Daniel Egnor. Google programing contest, 2002.

    Google Scholar 

  15. T. Takeda. The latitude / longitude position database of all-prefectures cities, towns and villages in japan, 2000.

    Google Scholar 

  16. Google Web API. http://www.google.com/apis/, 2002.

  17. Microsoft.net. http://www.microsoft.com/net/, 2002.

  18. Chasen. http://chasen.aist-nara.ac.jp/chasen/whatis.html.en, 2002.

Download references

Author information

Authors and Affiliations

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

    Qiang Ma & Katsumi Tanaka

  2. Graduate School of Science and Technology, Kobe University, Rokkodai, Nada, Kobe, 657-8501, Japan

    Chiyako Matsumoto

Authors
  1. Qiang Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Chiyako Matsumoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Katsumi Tanaka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, 4072, Australia

    Xiaofang Zhou  & Maria E. Orlowska  & 

  2. Department of Mathematics and Computing, University of Southern Queensland, Toowoomba, QLD, 4350, Australia

    Yanchun Zhang

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ma, Q., Matsumoto, C., Tanaka, K. (2003). A Localness-Filter for Searched Web Pages. In: Zhou, X., Orlowska, M.E., Zhang, Y. (eds) Web Technologies and Applications. APWeb 2003. Lecture Notes in Computer Science, vol 2642. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36901-5_53

Download citation

  • DOI: https://doi.org/10.1007/3-540-36901-5_53

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-02354-8

  • Online ISBN: 978-3-540-36901-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation