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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Bertino, E., Ferrari, E., Perego, A., & Zarri, G. P. (2005). An integrated approach to rating and filtering web content. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3533 LNAI, pp. 749–751). Springer Verlag. https://doi.org/10.1007/11504894_104
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