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Interactive path analysis of web site traffic
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The use of web structure and content to identify subjectively interesting web usage patterns
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Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Web usage mining based on probabilistic latent semantic analysis
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
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Personalized Web Search by Constructing Semantic Clusters of User Profiles
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
Semantic spam filtering from personalized ontologies
Journal of Web Engineering
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In this work, a new log analysis system is proposed and implemented, called ORGAN (Ontology-oRiented usaGe ANalysis system). ORGAN aims to enhance and ease log analysis by using semantic knowledge. It is able to offer typical statistical analysis of Web usage logs taking into consideration at the same time site's underlying semantics. We evaluated ORGAN using Web site data for different cases to verify and exhibit its promising behavior. The experimental outcomes were encouraging and valuable conclusions for the Web site usage under analysis were reached. Consequently, we believe and show paradigms that ORGAN could become a useful tool for Web log analysts and assist the Web site managers in the decision-making for reorganization tasks. Finally, we discuss open problems to motivate further research efforts towards the incorporation of semantic Web technologies into Web site log mining analysis.