Research on the Knowledge Retrieval Model Based on Ontology and Multi-agent

With the development of ontology and agent, they are gradually used in the design of knowledge management system. But in the existing design of knowledge management systems, there are few examples of combining agent with ontology, and among them mostly only consider agent, or only consider ontology. In order to retrieval and access the knowledge in the knowledge management system, we need a search engine to accomplish this function. On the basis of sufficiently analyzing the necessity and feasibility for using the ontology and multi-agent technology to develop the knowledge retrieval model, this paper proposes a three-layer structure of knowledge retrieval model based on ontology and multi-agent which includes client layer, retrieval logic layer and data service layer with ontology base, user feature base, method base and knowledge base. In the given model, the knowledge is descriped by ontology, and multi-agent system composes the framework of the knowledge retrieval model. The communication language between various agents uses OWL that is one of the description languages of ontology. Finally, this paper gives a prototype application that is based on high-speed railway knowledge and also analyzes the direction and content of the information flow among agents.