Combining Social Networks and Semantic Web Technologies for Personalizing Web Access

  • Barbara Carminati
  • Elena Ferrari
  • Andrea Perego
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 10)


The original purpose of Web metadata was to protect end-users from possible harmful content and to simplify search and retrieval. However they can also be also exploited in more enhanced applications, such as Web access personalization on the basis of end-users’ preferences. In order to achieve this, it is however necessary to address several issues. One of the most relevant is how to assess the trustworthiness of Web metadata. In this paper, we discuss how such issue can be addressed through the use of collaborative and Semantic Web technologies. The system we propose is based on a Web-based Social Network, where members are able not only to specify labels, but also to rate existing labels. Both labels and ratings are then used to assess the trustworthiness of resources’ descriptions and to enforce Web access personalization.


User Preference Content Descriptor Resource Property Trust Computation Resource Owner 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Resnick, P., Miller, J.: PICS: Internet access controls without censorship. Commun. ACM 39(10), 87–93 (1996)CrossRefGoogle Scholar
  2. 2.
    Golder, S.A., Huberman, B.A.: The structure of collaborative tagging systems. The Computing Research Repository (CoRR) abs/cs/0508082 (2005)Google Scholar
  3. 3.
    Voß, J.: Tagging, folksonomy & Co – Renaissance of manual indexing? The Computing Research Repository (CoRR) abs/cs/0701072 (2007)Google Scholar
  4. 4.
    Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge & Data Engineering 17(6), 734–749 (2005)CrossRefGoogle Scholar
  5. 5.
    Sen, S., Lam, S.K., Rashid, A.M., Cosley, D., Frankowski, D., Osterhouse, J., Harper, F.M., Riedl, J.: Tagging, communities, vocabulary, evolution. In: CSCW 2006, pp. 181–190 (2006)Google Scholar
  6. 6.
    Terveen, L., Hill, W., Amento, B., McDonald, D., Creter, J.: PHOAKS: A system for sharing recommendations. Commun. ACM 40(3), 59–62 (1997)CrossRefGoogle Scholar
  7. 7.
    Golbeck, J.A.: Generating predictive movie recommendations from trust in social networks. In: iTrust 2006, pp. 93–104 (2006)Google Scholar
  8. 8.
    Avesani, P., Massa, P., Tiella, R.: A trust-enhanced recommender system application: Moleskiing. In: 2005 ACM Symposium on Applied Computing (SAC 2005), pp. 1589–1593 (2005)Google Scholar
  9. 9.
    Bonatti, P.A., Olmedilla, D.: Driving and monitoring provisional trust negotiation with metapolicies. In: POLICY 2005, pp. 14–23. IEEE CS, Los Alamitos (2005)Google Scholar
  10. 10.
    Bizer, C., Cyganiak, R., Maresch, O., Gauss, T.: The WIQA – Web Information Quality Assessment framework. Technical report, Freie Universität Berlin (2006),
  11. 11.
    Berners-Lee, T., Connolly, D., Kagal, L., Scharf, Y., Hendler, J.: N3Logic: A logical framework for the World Wide Web. Theory and Practice of Logic Programming 8(3), 249–269 (2008)MathSciNetCrossRefzbMATHGoogle Scholar
  12. 12.
    Brickley, D., Miller, L.: FOAF vocabulary specification 0.91. RDF Vocabulary Specification (November 2007),
  13. 13.
    Archer, P., Smith, K., Perego, A.: Protocol for Web description resources (POWDER): Description resources. W3C Working Draft, World Wide Web Consortium (October 2008),

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2009

Authors and Affiliations

  • Barbara Carminati
    • 1
  • Elena Ferrari
    • 1
  • Andrea Perego
    • 1
  1. 1.DICOMUniversità degli Studi dell’InsubriaVareseItaly

Personalised recommendations