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.
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Bertino, E., Ferrari, E., Perego, A., Zarri, G.P. (2005). An Integrated Approach to Rating and Filtering Web Content. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_104
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DOI: https://doi.org/10.1007/11504894_104
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