A Social Network-Based Trust Model for the Semantic Web

  • Yu Zhang
  • Huajun Chen
  • Zhaohui Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4158)


Trust is very essential to secure and high quality interactions on the Semantic Web. In this paper, we introduce a trust model, which incorporates pairwise trust ratings and reliable factors of acquaintances and constructs an edge-weighted graph to calculate trust values. We interpret trust in two dimensions to better deal with it. We apply the theory in social network field to calculate trust and simulate the trust relationships between humans. We also take advantage of formulas in probability and statistics to analyze the similarities between agents. The algorithm of the trust model aims to be simple, efficient and flexible.


Trust Model Resource Description Framework Small World Trust Rating Trust Information 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yu Zhang
    • 1
  • Huajun Chen
    • 1
  • Zhaohui Wu
    • 1
  1. 1.Grid Computing Lab, College of Computer ScienceZhejiang UniversityHangzhou, ZhejiangChina

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