Research on Personalized Recommendation System in E-Learning Based on Semantic Web

The semantic web is the future of web, which gives the network information with well-structured semantic meaning. Aiming at the need for characteristic learning, this paper analyzes the development of the personalized recommendation system, puts forward a personalized recommendation system in the E-Learning based on the semantic web, and analyzes the link between them. The proposed system adopts the principle and technology of the semantic web, discusses the construction and storage of the domain ontology, values the semantic modeling of the learner and the learning resources as the basis, combines the learner's model with the domain knowledge ontology of the learning resources for matching, and realizes the personalized recommendation through the semantic recommendation algorithm. Finally the paper design and realizes the prototype of this system.