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A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory

  • Conference paper
Frontiers of WWW Research and Development - APWeb 2006 (APWeb 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3841))

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Abstract

Enabling trust to ensure more effective and efficient agent interaction is at the heart of the Semantic Web vision. We propose a computational trust model based on Bayesian decision theory in this paper. Our trust model combines a variety of sources of information to assist users with making correct decision in choosing the appropriate providers according to their preferences that expressed by prior information and utility function, and takes three types of costs (operational, opportunity and service charges) into account during trust evaluating. Our approach gives trust a strict probabilistic interpretation and lays solid foundation for trust evaluating on the Semantic Web.

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Author information

Authors and Affiliations

  1. College of Computer Science, Zhejiang University, Hangzhou, 310027, China

    Xiaoqing Zheng, Huajun Chen, Zhaohui Wu & Yu Zhang

Authors
  1. Xiaoqing Zheng
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  2. Huajun Chen
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  3. Zhaohui Wu
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  4. Yu Zhang
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Editor information

Editors and Affiliations

  1. School of ITEE, The University of Queensland, Australia

    Xiaofang Zhou

  2. School of Computer Science and Technology, Heilongjiang University, China

    Jianzhong Li

  3. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia

    Heng Tao Shen

  4. Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, 153-8505, Tokyo, Japan

    Masaru Kitsuregawa

  5. Victoria University, Australia

    Yanchun Zhang

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© 2006 Springer-Verlag Berlin Heidelberg

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Zheng, X., Chen, H., Wu, Z., Zhang, Y. (2006). A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_68

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  • DOI: https://doi.org/10.1007/11610113_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31142-3

  • Online ISBN: 978-3-540-32437-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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