Role-Based Access Control Models
Computer
PICS: Internet access controls without censorship
Communications of the ACM
Using digital credentials on the World Wide Web
Journal of Computer Security - Special issue on security in the World Wide Web
A Content-Based Authorization Model for Digital Libraries
IEEE Transactions on Knowledge and Data Engineering
DCMI '01 Proceedings of the International Conference on Dublin Core and Metadata Applications 2001
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
KAoS Policy Management for Semantic Web Services
IEEE Intelligent Systems
Authorization and Privacy for Semantic Web Services
IEEE Intelligent Systems
OWL DL vs. OWL flight: conceptual modeling and reasoning for the semantic Web
WWW '05 Proceedings of the 14th international conference on World Wide Web
Driving and Monitoring Provisional Trust Negotiation with Metapolicies
POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
IEEE Transactions on Knowledge and Data Engineering
Role-Based Access Control, Second Edition
Role-Based Access Control, Second Edition
Bridging the gap between OWL and relational databases
Proceedings of the 16th international conference on World Wide Web
N3logic: A logical framework for the world wide web
Theory and Practice of Logic Programming
Adaptive support framework for wisdom web of things
World Wide Web
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Web content filtering is a means to make end-users aware of the `quality' of Web resources by evaluating their contents and/or characteristics against users' preferences. Although they can be used for a variety of purposes, Web content filtering tools are mainly deployed as a service for parental control purposes, and for regulating the access to Web content by users connected to the networks of enterprises, libraries, schools, etc. Current Web filtering tools are based on well established techniques, such as data mining and firewall blocking, and they typically cater to the filtering requirements of very specific end-user categories. Therefore, what is lacking is a unified filtering framework able to support all the possible application domains, and making it possible to enforce interoperability among the different filtering approaches and the systems based on them. In this paper, a multi-strategy approach is described, which integrates the available techniques and focuses on the use of metadata for rating and filtering Web information. Such an approach consists of a filtering meta-model, referred to as MFM (Multi-strategy Filtering Model), which provides a general representation of the Web content filtering domain, independently from its possible applications, and of two prototype implementations, partially carried out in the framework of the EU projects EUFORBIA and QUATRO, and designed for different application domains: user protection and Web quality assurance, respectively.