Automatically discovering quality-assured consensual knowledge in social web

  • Authors:

  • Krissada Maleewong;Chutiporn Anutariya;Vilas Wuwongse

  • Affiliations:

  • Shinawatra University, Pathumthani, Thailand;Shinawatra University, Pathumthani, Thailand;Asian Institute of Technology, Pathumthani, Thailand

  • Venue:
  • Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
  • Year:
  • 2011

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Abstract

Although Social Web has been successful at encouraging vast numbers of contributors to collaboratively create and share knowledge, and leading to unanticipated explosion of innovative ideas, the user-generated contents are confronted with poor quality and untrustworthy problems, while the online community deals with several conflicts occurred during the deliberation. To tackle such problems, this paper presents a novel approach to enable an online community to achieve a potential position, a user-generated content that contains high quality and is acceptable by most members in the community. By structurally and semantically capturing and describing the community deliberation, a number of important properties of a potential position can be identified and used to propose several useful measures for automatically discovering quality-assured consensual knowledge in Social Web. The experimental results show that the proposed measures are efficient.