A knowledge retrieval model using ontology mining and user profiling
Integrated Computer-Aided Engineering
An Ontology-Based Framework for Knowledge Retrieval
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Concept-Based, Personalized Web Information Gathering: A Survey
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
A knowledge-based model using ontologies for personalized web information gathering
Web Intelligence and Agent Systems
Discovery of Web user communities and their role in personalization
User Modeling and User-Adapted Interaction
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It is well accepted that ontology is useful for personalized Web information gathering. However, it is challenging to use semantic relations of "kind-of", "part-of", and "related-to" and synthesize commonsense and expert knowledge in a single computational model. In this paper, a personalized ontology model is proposed attempting to answer this challenge. A two-dimensional (Exhaustivity and Specificity) method is also presented to quantitatively analyze these semantic relations in a single framework. The proposals are successfully evaluated by applying the model to a Web information gathering system. The model is a significant contribution to personalized ontology engineering and concept-based Web information gathering in Web Intelligence.