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Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks

  • Conference paper
Engineering Knowledge in the Age of the Semantic Web (EKAW 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3257))

Abstract

While most research on the topic of trust on the semantic web has focused largely on digital signatures, certificates, and authentication, more social notions of trust which are reputation-based are starting to gain attention. In this paper, we describe an algorithm for generating locally-calculated reputation ratings from a Semantic Web Social Network. We present mathematical and experimental results that show the effectiveness of this algorithm to accurately infer the reputation of a node. We then describe TrustMail, an application that uses the network for rating email.

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Author information

Authors and Affiliations

  1. MIND Lab, University of Maryland, College Park, 8400 Baltimore Ave., College Park, Maryland, 20740, USA

    Jennifer Golbeck & James Hendler

Authors
  1. Jennifer Golbeck
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  2. James Hendler
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Editor information

Editors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keynes, UK

    Enrico Motta

  2. Electronics and Computer Science, University of Southampton, UK

    Nigel R Shadbolt

  3. Knowledge Media Institute, Open University, UK

    Arthur Stutt

  4. University of Southampton, SO17 1BJ, Southampton, UK

    Nick Gibbins

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© 2004 Springer-Verlag Berlin Heidelberg

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Golbeck, J., Hendler, J. (2004). Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds) Engineering Knowledge in the Age of the Semantic Web. EKAW 2004. Lecture Notes in Computer Science(), vol 3257. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_8

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  • DOI: https://doi.org/10.1007/978-3-540-30202-5_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23340-4

  • Online ISBN: 978-3-540-30202-5

  • eBook Packages: Springer Book Archive

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