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A Search Engine for Browsing the Wikipedia Thesaurus

  • Kotaro Nakayama
  • Takahiro Hara
  • Shojiro Nishio
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4947)

Abstract

Wikipedia has become a huge phenomenon on the WWW. As a corpus for knowledge extraction, it has various impressive characteristics such as a huge amount of articles, live updates, a dense link structure, brief link texts and URL identification for concepts. In our previous work, we proposed link structure mining algorithms to extract a huge scale and accurate association thesaurus from Wikipedia. The association thesaurus covers almost 1.3 million concepts and the significant accuracy is proved in detailed experiments. To prove its practicality, we implemented three features on the association thesaurus; a search engine for browsing Wikipedia Thesaurus, an XML Web service for the thesaurus and a Semantic Web support feature. We show these features in this demonstration.

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References

  1. 1.
    Nakayama, K., Hara, T., Nishio, S.: A thesaurus construction method from large scale web dictionaries. In: Proc. of IEEE International Conference on Advanced Information Networking and Applications (AINA 2007), pp. 932–939 (2007)Google Scholar
  2. 2.
    Nakayama, K., Hara, T., Nishio, S.: Wikipedia mining for an association web thesaurus construction. In: Benatallah, B., Casati, F., Georgakopoulos, D., Bartolini, C., Sadiq, W., Godart, C. (eds.) WISE 2007. LNCS, vol. 4831, Springer, Heidelberg (2007)CrossRefGoogle Scholar
  3. 3.
    World Wide Web Consortium: Simple knowledge organisation systems (skos) (2004), http://www.w3.org/2004/02/skos/

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Kotaro Nakayama
    • 1
  • Takahiro Hara
    • 1
  • Shojiro Nishio
    • 1
  1. 1.Dept. of Multimedia Eng., Graduate School of Information Science and TechnologyOsaka UniversityOsakaJapan

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