Personalized learning service framework based on Semantic Web Technologies

Personalization is widely used in various fields to provide users with more suitable and personalized service. In this paper, a personalized learning service framework based on Semantic Web Technologies is proposed. The framework made full use of ontology to construct the semantic metadata model and user profile, mining and utilizing the friendship and membership to provide personalized learning services that include learning service and learning support service by a new ontology-based collaborative recommendation algorithm. Experiments in this paper showed that the proposed architecture is effective.