document: Learning and inferencing in user ontology for personalized semantic web services Domain ontology has been used in many Semantic Web applications . However , few applications explore the use of ontology for personalized services . This paper proposes an ontology based user model consisting of both concepts and semantic relations to represent users ' interests . Specifically , we adopt a statistical approach to learning a semantic-based user ontology model from domain ontology and a spreading activation procedure for inferencing in the user ontology model . We apply the methods of learning and exploiting user ontology to a semantic search engine for finding academic publications . Our experimental results support the efficacy of user ontology and spreading activation theory ( SAT ) for providing personalized semantic services .
doc_bio_tags: O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O B I O O O O O O O O O O B I O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O