Semantic user profile acquisition and sharing

Abstract

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.