Extracting the gist of social network services using Wikipedia

  • Authors:

  • Akiyo Nadamoto;Eiji Aramaki;Takeshi Abekawa;Yohei Murakami

  • Affiliations:

  • Konan University, Higashinada-ku Kobe, Japan;The University of Tokyo, Bunkyo-ku, Tokyo, Japan;National Institute Informatics, Chiyoda-ku, Tokyo, Japan;National Institute of Information and Communications Technology, Soraku-gun, Kyoto, Japan

  • Venue:
  • Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
  • Year:
  • 2010

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Abstract

Social Network Services(SNSs), which are maintained by a community of people, are among the popular Web 2.0 tools. Multiple users freely post their comments to an SNS thread. It is difficult to understand the gist of the comments because the dialog in an SNS thread is complicated. In this paper, we propose a system that presents the gist of information at a glance and basic information about an SNS thread by using Wikipedia. We focus on the table of contents (TOC) of the relevant articles on Wikipedia. Our system compares the comments in a thread with the information in the TOC and identifies contents that are similar. We consider the similar contents in the TOC as the gist of the thread and paragraphs in Wikipedia similar to the comments in the thread as comprising basic information about the thread. Thus, a user can obtain the gist of an SNS thread by viewing a table with similar contents.