Combining Provenance with Trust in Social Networks for Semantic Web Content Filtering

  • Jennifer Golbeck
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4145)


Social networks are a popular movement on the web. On the Semantic Web, it is simple to make trust annotations to social relationships. In this paper, we present a two level approach to integrating trust, provenance, and annotations in Semantic Web systems. We describe an algorithm for inferring trust relationships using provenance information and trust annotations in Semantic Web-based social networks. Then, we present an application, FilmTrust, that combines the computed trust values with the provenance of other annotations to personalize the website. The FilmTrust system uses trust to compute personalized recommended movie ratings and to order reviews. We believe that the results obtained with FilmTrust illustrate the success that can be achieved using this method of combining trust and provenance on the Semantic Web.


  1. 1.
    Beth, T., Borcherding, M., Klein, B.: Valuation of trust in open networks. In: Proceedings of ESORICS 1994 (1994)Google Scholar
  2. 2.
    Brickley, D., Miller, L.: Foaf vocabulary specification (2005),
  3. 3.
    Davis, I., Vitiello Jr., E.: Relationship: A vocabulary for describing relationships between people (2004)Google Scholar
  4. 4.
    Golbeck, J.: Computing and Applying Trust in Web-based Social Networks. Ph.D. Dissertation, University of Maryland, College Park (2005)Google Scholar
  5. 5.
    Golbeck, J.: Filmtrust: Movie recommendations using trust in web-based social networks. In: Proceedings of the Consumer Communication and Networking Conference (2006)Google Scholar
  6. 6.
    Golbeck, J.: Generating Predictive Movie Recommendations from Trust in Social Networks. In: Stølen, K., Winsborough, W.H., Martinelli, F., Massacci, F. (eds.) iTrust 2006. LNCS, vol. 3986, pp. 93–104. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  7. 7.
    Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The eigentrust algorithm for reputation management in p2p networks. In: Proceedings of the 12th International World Wide Web Conference, May 20-24 (2004)Google Scholar
  8. 8.
    Levin, R., Aiken, A.: Attack resistant trust metrics for public key certification. In: 7th USENIX Security Symposium (1998)Google Scholar
  9. 9.
    Page, L., Brin, S., Motwani, R., Winograd, T.: The pagerank citation ranking: Bringing order to the web. Technical Report 1998, Stanford University (1998)Google Scholar
  10. 10.
    Richardson, M., Agrawal, R., Domingos, P.: Trust management for the semantic web. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 351–368. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  11. 11.
    Ziegler, C.-N., Golbeck, J.: Investigating Correlations of Trust and Interest Similarity. Decision Support Services (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jennifer Golbeck
    • 1
  1. 1.University of MarylandCollege ParkUSA

Personalised recommendations