• DocumentCode
    3221417
  • Title

    Wikipedia Mining for Huge Scale Japanese Association Thesaurus Construction

  • Author

    Nakayama, Kotaro ; Ito, Masahiro ; Hara, Takahiro ; Nishio, Shojiro

  • Author_Institution
    Osaka Univ., Suita
  • fYear
    2008
  • fDate
    25-28 March 2008
  • Firstpage
    1150
  • Lastpage
    1155
  • Abstract
    Wikipedia, a huge scale Web-based dictionary, is an impressive corpus for knowledge extraction. We already proved that Wikipedia can be used for constructing an English association thesaurus and our link structure mining method is significantly effective for this aim. However, we want to find out how we can apply this method to other languages and what the requirements, differences and characteristics are. Nowadays, Wikipedia supports more than 250 languages such as English, German, French, Polish and Japanese. Among Asian languages, the Japanese Wikipedia is the largest corpus in Wikipedia. In this research, therefore, we analyzed all Japanese articles in Wikipedia and constructed a huge scale Japanese association thesaurus. After constructing the thesaurus, we realized that it shows several impressive characteristics depending on language and culture.
  • Keywords
    Internet; data mining; dictionaries; natural languages; text analysis; thesauri; Japanese association thesaurus construction; Web-based dictionary; Wikipedia mining; knowledge extraction; Data mining; Dictionaries; Humans; Indium tin oxide; Information science; Natural languages; Thesauri; Uniform resource locators; Wikipedia; World Wide Web; Association Thesaurus; Link Structure Mining; Wikipedia Mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications - Workshops, 2008. AINAW 2008. 22nd International Conference on
  • Conference_Location
    Okinawa
  • Print_ISBN
    978-0-7695-3096-3
  • Type

    conf

  • DOI
    10.1109/WAINA.2008.37
  • Filename
    4483073