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Learning to construct knowledge bases from the World Wide Web
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Ontology Learning for the Semantic Web
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PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment
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Web usage mining: discovery and applications of usage patterns from Web data
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ICDCS '96 Proceedings of the 16th International Conference on Distributed Computing Systems (ICDCS '96)
Ontology-Based Web Mining Model: Representations of User Profiles
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Automatic Pattern-Taxonomy Extraction for Web Mining
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It is not easy to obtain the right information from the Web for a particular Web user or a group of users due to the obstacle of automatically acquiring Web user profiles. The current techniques do not provide satisfactory structures for mining Web user profiles. This paper presents a novel approach for this problem. The objective of the approach is to automatically discover ontologies from data sets in order to build complete concept models for Web user information needs. It also proposes a method for capturing evolving patterns to refine discovered ontologies. In addition, the process of assessing relevance in ontology is established. This paper provides both theoretical and experimental evaluations for the approach. The experimental results show that all objectives we expect for the approach are achievable.