netWorker - Blog it! social software is transforming the Web<\'m>again
Why web 2.0 is good for learning and for research: principles and prototypes
Proceedings of the 17th international conference on World Wide Web
Adaptive systems in the era of the semantic and social web, a survey
User Modeling and User-Adapted Interaction
An ontology-based IT student model in an educational social network
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Modeling end-users as contributors in human computation applications
MEDI'12 Proceedings of the 2nd international conference on Model and Data Engineering
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This paper presents the idea to reason over user's tags to define and enrich the user model. We apply our approach to an adaptive web-based and multi-device social recommender system: iCITY, which exploits a tag-based user model, enriched from the information derived from the tags inserted in the system by users, and filled also with the tags the user has already exploited in other social web sites. Moreover, we propose an architecture to enable the iCITY tag-based user model be exported and shared with other social applications in a semantic enhanced way. Finally, we propose the sharing of the user profile, together with the list of tags, in a shared syntax (such as RDF(S), OWL, RSS).