Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers

Research Article

Combining Social Networks and Semantic Web Technologies for Personalizing Web Access

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  • @INPROCEEDINGS{10.1007/978-3-642-03354-4_11,
        author={Barbara Carminati and Elena Ferrari and Andrea Perego},
        title={Combining Social Networks and Semantic Web Technologies for Personalizing Web Access},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 4th International Conference, CollaborateCom 2008, Orlando, FL, USA, November 13-16, 2008, Revised Selected Papers},
        proceedings_a={COLLABORATECOM},
        year={2012},
        month={5},
        keywords={},
        doi={10.1007/978-3-642-03354-4_11}
    }
    
  • Barbara Carminati
    Elena Ferrari
    Andrea Perego
    Year: 2012
    Combining Social Networks and Semantic Web Technologies for Personalizing Web Access
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-642-03354-4_11
Barbara Carminati1,*, Elena Ferrari1,*, Andrea Perego1,*
  • 1: Università degli Studi dell’Insubria
*Contact email: barbara.carminati@uninsubria.it, elena.ferrari@uninsubria.it, andrea.perego@uninsubria.it

Abstract

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.