Extracting relations in social networks from the Web using similarity between collective contexts

Junichiro Mori, Takumi Tsujishita, Yutaka Matsuo, Mitsuru Ishizuka

研究成果: Conference contribution

24 被引用数 (Scopus)

抄録

Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extraction of social networks. However, most methods have addressed extraction of the strength of relations. Our goal is extracting the underlying relations between entities that are embedded in social networks. To this end, we propose a method that automatically extracts labels that describe relations among entities. Fundamentally, the method clusters similar entity pairs according to their collective contexts in Web documents. The descriptive labels for relations are obtained from results of clustering. The proposed method is entirely unsupervised and is easily incorporated into existing social network extraction methods. Our method also contributes to ontology population by elucidating relations between instances in social networks. Our experiments conducted on entities in political social networks achieved clustering with high precision and recall. We extracted appropriate relation labels to represent the entities.

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487-500
ページ数14
4273 LNCS
出版ステータスPublished - 2006
外部発表はい
イベント5th International Semantic Web Conference, ISWC 2006 - Athens, GA
継続期間: 2006 11 52006 11 9

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4273 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other5th International Semantic Web Conference, ISWC 2006
CityAthens, GA
Period06/11/506/11/9

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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