Wikipedia Mining Challenge for Realizing Early Profits, The Kick Off

  • NAKAYAMA Kotaro
    The Center for Knowledge Structuring, The University of Tokyo
  • ITO Masahiro
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
  • ERDMANN Maike
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
  • SHIRAKAWA Masumi
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
  • MICHISHITA Tomoyuki
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
  • HARA Takahiro
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University
  • NISHIO Shojiro
    Dept. of Multimedia Eng., Graduate School of Information Science and Technology, Osaka University

Bibliographic Information

Other Title
  • Wikipediaマイニング  近未来チャレンジキックオフ編
  • Challenge for Realizing Early Profits, The Kick Off
  • 近未来チャレンジキックオフ編

Description

Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers a huge number of concepts of various fields such as arts, geography, history, science, sports and games. As a corpus for knowledge extraction, Wikipedia's impressive characteristics are not limited to the scale, but also include the dense link structure, URL based word sense disambiguation, and brief anchor texts. Because of these characteristics, Wikipedia has become a promising corpus and a new frontier for research. In the past few years, a considerable number of researches have been conducted in various areas such as semantic relatedness measurement, bilingual dictionary construction, and ontology construction. Extracting machine understandable knowledge from Wikipedia to enhance the intelligence on computational systems is the main goal of "Wikipedia Mining," a project on CREP (Challenge for Realizing Early Profits) in JSAI. In this paper, we take a comprehensive, panoramic view of Wikipedia Mining research and the current status of our challenge. After that, we will discuss about the future vision of this challenge.

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