An Integrated Approach to Rating and Filtering Web Content

  • Elisa Bertino
  • Elena Ferrari
  • Andrea Perego
  • Gian Piero Zarri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3533)


In this poster, we will illustrate an integrated approach to Web filtering, whose main features are flexible filtering policies taking into account both users’ characteristics and resource content, the specification of an ontology for the filtering domain, and the support for the main filtering strategies currently available. Our approach has been implemented in two prototypes, which address the needs of both home and institutional users, and which enforce filtering strategies more sophisticated and flexible than the ones currently available.


Content Label Resource Content White List Institutional User Narrative Knowledge 
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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Elisa Bertino
    • 1
  • Elena Ferrari
    • 2
  • Andrea Perego
    • 3
  • Gian Piero Zarri
    • 4
  1. 1.CERIASPurdue UniversityUSA
  2. 2.DSCPIUniversità degli Studi dell’InsubriaComoItaly
  3. 3.DICoUniversità degli Studi di MilanoItaly
  4. 4.LaLICCUniversité Paris IV/SorbonneFrance

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