Research of intelligent question answering model based on ontology

To improve performance of knowledge share, reuse and answer accuracy in intelligent question answering system. A model of intelligent question answering system was put forward based on ontology. In this model, first a knowledge base was built based on ontology, and then the question of user was segmented, syntax analysed and ontology extracted. Consequently, knowledge base search was realized to receive the answer. In the model the effect of share, reuse of knowledge and exact locating and expression was good.