On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
A proposal for an owl rules language
Proceedings of the 13th international conference on World Wide Web
UCAIR: a personalized search toolbar
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Personalization technologies: a process-oriented perspective
Communications of the ACM - The digital society
Web search personalization with ontological user profiles
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Artificial intelligence today
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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The endless amount of information on the web, known as "lost-in-hyper-space syndrome", easily overwhelms users. User profiles are used as a means to support extracting relevant information by indicating user interests. In this paper, we propose a new method to develop and maintain a user profile by analyzing user's web access behavior. We propose an ontology-based semantic similarity measure and combine it with an importance measure to identify items that are of highest relevance to user interests. The proposed approach is used in a system for updating a user profile in music domain.