An integrated approach to rating and filtering web content

Authors:
Elisa Bertino;Elena Ferrari;Andrea Perego;Gian Piero Zarri
Affiliations:
CERIAS, Purdue University, IN;DSCPI, Università degli Studi dell'Insubria, Como, Italy;DICo, Università degli Studi di Milano, Italy;LaLICC, Université Paris IV/Sorbonne, France
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

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Abstract

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.