Learning to map between ontologies on the semantic web
Proceedings of the 11th international conference on World Wide Web
Determining Semantic Similarity among Entity Classes from Different Ontologies
IEEE Transactions on Knowledge and Data Engineering
Preface to Special Issue on User Modeling for Web Information Retrieval
User Modeling and User-Adapted Interaction
An approach to detection ontology changes
ICWE '06 Workshop proceedings of the sixth international conference on Web engineering
MICAI '06 Proceedings of the Fifth Mexican International Conference on Artificial Intelligence
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In this paper we present a novel method of comparing instances of ontological concepts in regard to personalized presentation and/or navigation in large information spaces. It is based on the assumption that comparing attributes of documents which were found interesting for a user can be a source for discovering information about user's interests. We consider applications for the Semantic Web where documents or their parts are represented by ontological concepts. We employ ontology structure and different similarity metrics for data type and object type attributes. From personalization point of view we impute reasons that might have caused user's interest in the content. Moreover, we propose a way to enumerate similarity for the particular user while taking into account individual user's interests and preferences.