Ontology-Based Learning Resource Dynamic Generation with Learning Goal

In this paper, based on ontology, a kind of system architecture is proposed to generate learning resource dynamically with learning goal, which is called LRDG. At the meantime, a semantic model and related processing methods are designed. The semantic model consists of knowledge object ontology, learning material ontology, learning action ontology and instructional strategy rule format. Processing methods include knowledge object decomposition, knowledge object selection, rule reasoning engine, and learning resource generation. With LRDG, the learning resource can be generated at learning time according to learner¿s present knowledge state. Also, a system is implemented with J2EE platform and Drool rule engine, and a prototype course is developed. At last, the author gives experiment result and draws conclusion.