WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Ontology Specification Languages for the Semantic Web
IEEE Intelligent Systems
Ρ-Queries: enabling querying for semantic associations on the semantic web
WWW '03 Proceedings of the 12th international conference on World Wide Web
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Learning to surf: multiagent systems for adaptive web page recommendation
Learning to surf: multiagent systems for adaptive web page recommendation
Discovering and ranking semantic associations over a Large RDF metabase
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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According to the requirement of providing semantically and personalized resource searching service to users in e-Learning systems and the problem of presenting the semantic relationships of users' query and searching results in traditional query expansion approaches, this paper discusses the representation and the construction of a semantic user model which represents individual user's interests by semantic mining from user's resource searching process, and the approach to personalized query expansion based on the user model. Some experiments are carried out to testify the effectiveness of our approach in providing personalized service and conveying the latent semantic requirement of the user in our e-Learning system. And the results of the experiments indicate that the approach is helpful.