Automatic personalization based on Web usage mining
Communications of the ACM
Chord: A scalable peer-to-peer lookup service for internet applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Ontology Learning for the Semantic Web
Ontology Learning for the Semantic Web
User Modeling and User-Adapted Interaction
Looking up data in P2P systems
Communications of the ACM
Towards user modeling meta-ontology
UM'05 Proceedings of the 10th international conference on User Modeling
Personalization in multimedia retrieval: A survey
Multimedia Tools and Applications
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Personalization and adaptation of web resources are very actual topics. To date, personalization and adaptation based on semantic web technologies gain still more focus. The use of the technologies resolves issues the lack of the explicit and machine processable semantics in the resources of the current Web; however, new issues are opened, such as effective retrieval of semantic user profiles. In this paper, we present an overview of available methods for user profile acquisition - sharing. We propose an approach to ontology based adaptation and also an underlying structure allowing an efficient but cost-effective way to use semantic user profiles (ontologies) in different applications. Therefore a model for semantic user profile sharing based on the algorithms of peer-to-peer networks is provided -- namely distributed hash tables. Discussion of arising issues as well as our attention to implement and experimentally evaluate proposed model concludes the paper.