Learning Resource Management Based on Knowledge Points and Semantic Web

The current network learning resources mainly are organized by tree structure as lesson - chapter - section. But taking into account the law of human cognition, it should describe and organize the learning resources, and provide e-Learning services with the knowledge of smaller units of granularity. This paper presents a learning resources organization´s overall architecture with knowledge points as the core. It uses semantic Web technology to describe the semantic object metadata, establish the knowledge ontology, learning object metadata repository, semantic indexing library, and form the mapping among the knowledge points, learning objects and learning resources. In this way, it can provide semantic level support for knowledge points´ correlation. Experiments show that the learning resource organization and e-learning system based on the semantic structure, which can be understood by both human and computer, have a new research and application prospect in the massive network resource´s organization and sharing, the knowledge management, and the personalized service.