Semantic Webのための人の社会ネットワーク抽出と利用  [in Japanese] Extraction and Utilization of Human Social Network toward the Semantic Web  [in Japanese]

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Author(s)

    • 友部 博教 TOMOBE HIRONORI
    • 名古屋大学21世紀COEプログラム「社会情報基盤のための音声・映像の知的統合」 21st Century COE Program "Intelligent Media Integration for Social Infrastructure", Nagoya University
    • 石塚 満 ISHIZUKA MITSURU
    • 東京大学大学院情報理工学系研究科 Graduate School of Information Science and Technology, The University of Tokyo

Abstract

Web上では,あらゆる人があらゆるトピックについて何でも書くことができる.セマンティックWebでは,情報の信頼性をWeb of trustにより計算することが重要な技術である.我々はこれまで,研究者の協働関係ネットワークをWeb上の情報から抽出する研究を行ってきた.本論文では,Webから抽出した情報を用い,人の関係性をセマンティックWebの枠組みの中で記述できること,得られたネットワークの中心性の解析をすることで,コミュニティにおける著名な人物が分かること,それが信頼性につながる別の尺度と相関していることを示す.セマンティックWebにおいて,人のネットワークを情報の信頼性の計算に用いる1つの新しい方法を提案していると考えている.Anyone can say anything about anything on the Web. In the context of Semantic Web, it is important to caluculate the trust of information based on "Web of Trust." We have developed an automatic extraction system of a social network among researchers from the Web. In this paper, we describe that the extracted relation is useful for human relation description in the context of Semantic Web. Moreover, we can extract the central persons in a community by analizing the network centality. Centrality measures are used as a surrogate of trust degree. Our approach shows an overall architecture to calculate the trust of information based on a social network.

Anyone can say anything about anything on the Web. In the context of Semantic Web, it is important to caluculate the trust of information based on "Web of Trust." We have developed an automatic extraction system of a social network among researchers from the Web. In this paper, we describe that the extracted relation is useful for human relation description in the context of Semantic Web. Moreover, we can extract the central persons in a community by analizing the network centality. Centrality measures are used as a surrogate of trust degree. Our approach shows an overall architecture to calculate the trust of information based on a social network.

Journal

  • IPSJ journal

    IPSJ journal 46(6), 1470-1479, 2005-06-15

    Information Processing Society of Japan (IPSJ)

References:  25

Cited by:  7

Codes

  • NII Article ID (NAID)
    110002768653
  • NII NACSIS-CAT ID (NCID)
    AN00116647
  • Text Lang
    JPN
  • Article Type
    Journal Article
  • ISSN
    1882-7764
  • NDL Article ID
    7395405
  • NDL Source Classification
    ZM13(科学技術--科学技術一般--データ処理・計算機)
  • NDL Call No.
    Z14-741
  • Data Source
    CJP  CJPref  NDL  NII-ELS  IR  IPSJ 
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