Extracting social networks among various entities on the web

YingZi Jin*, Yutaka Matsuo, Mitsuru Ishizuka

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages16
Volume4519 LNCS
Publication statusPublished - 2007
Externally publishedYes
Event4th European Semantic Web Conference, ESWC 2007 - Innsbruck
Duration: 2007 Jun 32007 Jun 7


Other4th European Semantic Web Conference, ESWC 2007

ASJC Scopus subject areas

  • General Computer Science
  • General Biochemistry,Genetics and Molecular Biology
  • Theoretical Computer Science


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