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Uncertainty in Knowledge Provenance

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The Semantic Web: Research and Applications (ESWS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3053))

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Abstract

Knowledge Provenance is an approach to determining the origin and validity of knowledge/information on the web by means of modeling and maintaining information sources and dependencies, as well as trust structures. This paper constructs an uncertainty-oriented Knowledge Provenance model to address the provenance problem with uncertain truth values and uncertain trust relationships by using information theory and probability theory. This proposed model could be used for both people and web applications to determine the validity of web information in a world where information is uncertain.

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Author information

Authors and Affiliations

  1. Enterprise Integration Laboratory, University of Toronto, 40 St. George Street, Toronto, ON, M5S 3G8, Canada

    Jingwei Huang & Mark S. Fox

Authors
  1. Jingwei Huang
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  2. Mark S. Fox
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Editor information

Editors and Affiliations

  1. Cisco Systems, Inc., 95134, San Jose, CA, USA

    Christoph J. Bussler

  2. Next Generation Web Research Group, BT Group,, Adastral Park, Ipswich, UK

    John Davies

  3. DERI Innsbruck, University of Innsbruck, Austria

    Dieter Fensel

  4. Institute AIFB, Universität Karlsruhe, Germany

    Rudi Studer

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© 2004 Springer-Verlag Berlin Heidelberg

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Huang, J., Fox, M.S. (2004). Uncertainty in Knowledge Provenance. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds) The Semantic Web: Research and Applications. ESWS 2004. Lecture Notes in Computer Science, vol 3053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25956-5_26

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  • DOI: https://doi.org/10.1007/978-3-540-25956-5_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-21999-6

  • Online ISBN: 978-3-540-25956-5

  • eBook Packages: Springer Book Archive

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