A Personalized Semantic Search Method for Intelligent e-Learning

In intelligent e-Learning, personalized search support becomes even more and more important now. This paper shows how to achieve the personalized search in e-learning environments. We present a semantic-based search method for personalized e- Learning. In the method, learning resources ontology and learner ontology are designed for semantic analysis and algorithm for ontology learning. The method is applied in an e-learning system and evaluated by some users. The result shows that the personalized semantic search method can improve the precision and recall of learning resources retrieval effectively in e-learning system, and can provide more intelligent e-learning services for the learners.