Extracting social networks among various entities on the web

YingZi Jin*, Yutaka Matsuo, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

30 被引用数 (Scopus)

抄録

Social networks have recently attracted much attention for their importance to the Semantic Web. Several methods exist to extract social networks for people (particularly researchers) from the web using a search engine. Our goal is to expand existing techniques to obtain social networks among various entities. This paper proposes two improvements, i.e. relation identification and threshold tuning, which enable us to deal with complex and inhomogeneous communities. Social networks among firms and artists (of contemporary) are extracted as examples: Several evaluations emphasize the effectiveness of these methods. Our system was used at the International Triennale of Contemporary Art (Yokohama Triennale 2005) to facilitate navigation of artists' information. This study contributes to the Semantic Web in that we increase the applicability of social network extraction for several studies.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ251-266
ページ数16
4519 LNCS
出版ステータスPublished - 2007
外部発表はい
イベント4th European Semantic Web Conference, ESWC 2007 - Innsbruck
継続期間: 2007 6 32007 6 7

Other

Other4th European Semantic Web Conference, ESWC 2007
CityInnsbruck
Period07/6/307/6/7

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 生化学、遺伝学、分子生物学(全般)
  • 理論的コンピュータサイエンス

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