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Trust Judgment in Knowledge Provenance

Jingwei Huang, Fox, M.S.·2006·16th International Workshop on Database and Expert Systems Applications (DEXA'05)
DOI 10.1109/dexa.2005.193
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Abstract

Knowledge provenance is an approach to determining the validity and origin of Web information by means of modeling and maintaining information sources, information dependencies, and trust structures. This paper explores trust structures in social networks and constructs a trust judgment model for knowledge provenance. Trust judgment includes: trust assessment (to assess trust degree) and trust decision (to make decision of either trusting or distrusting). We reveal a general structure of trust decision, from which (i) the threshold of trust degree to make decision of trusting and (ii) a measure of importance of trust judgment situation are derived. Regarding trust assessment using social network, a major concern is how to aggregate friends' opinions. We propose two new methods: (1) to find most compatible solution to all opinions; (2) to request friends one by one until a set of consistent opinions is obtained. They are close to people's thinking patterns

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  • Knowledge Provenance has been proposed to annotate the reliability of information extracted from web sources based on who created the assertion, how much the creator can be trusted, and what the information depends on.

    “Knowledge Provenance (KP) has been proposed to create an approach to annotate the reliability of information extracted from web sources based on who created the assertion, how much the creator can be trusted, and what the information depends on.”

    From Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions (2025) · cites this paper as [31]

Citations

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No references could be resolved yet.

Research works printed but not linked: 22

  1. richardson, 0, Trust management for the semantic web, Proc of Int Semantic Web Conf 2003, 351
  2. zucker, 1986, Production of trust, Research in Organizational Behavior, 8, 53
  3. 10.1007/3-540-44875-6_2 · DOI
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  6. marsh, 1994, Formalising trust as a computational concept
  7. khare, 0, Weaving and web of trust, World Wide Web Journal, 2, 77
  8. 10.1093/sf/63.4.967 · DOI · Paper page
  9. huang, 2004, Uncertainty in knowledge provenance, Lecture Notes in Computer Science, 3053, 372, 10.1007/978-3-540-25956-5_26 · DOI · Paper page
  10. huang, 2005, A logic structure of trust, EIL Research Report
  11. yu, 2000, A social mechanism of reputation management in electronic communities, Proceedings of 4th Int Workshop on Cooperative Information Agents, 154
  12. 10.1109/SECPRI.1996.502679 · DOI
  13. 10.1111/j.1467-6494.1967.tb01454.x · DOI · Paper page
  14. berners-lee, 0, Semantic web status and direction, International Semantic Web Conference 2003
  15. 10.1145/283699.283739 · DOI
  16. huang, 2004, Dynamic knowledge provenance, Proceedings of Business Agents and Semantic Web Workshop, 11
  17. gambetta, 1988, Can we trust trust?, TRUST
  18. fox, 0, Knowledge provenance: An approach to modeling and maintaining the evolution and validity of knowledge, EIL Technical Report
  19. deutsch, 1973, Trust and suspicion: Theoretical notes, The resolution of conflict, 143
  20. 10.1016/S0956-5221(97)84644-1 · DOI
  21. 10.1145/988672.988727 · DOI
  22. golbeck, 2002, Trust Networks on the Semantic Web

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Metadata

Authors
Huang, J., & Fox, M. S.
Venue
16th International Workshop on Database and Expert Systems Applications (DEXA'05)
Publisher
IEEE
Published
2006
Pages
524-528
DOI
10.1109/dexa.2005.193
Cited by
3
References
0

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