2005 | OriginalPaper | Buchkapitel
An Integrated Approach to Rating and Filtering Web Content
verfasst von : Elisa Bertino, Elena Ferrari, Andrea Perego, Gian Piero Zarri
Erschienen in: Innovations in Applied Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.