Ontology-based Intelligent Retrieval System for Soil Knowledge

摘要

With the development and popularization of Internet, The research focuses on how to get the requirement quickly and exactly from a large number of information. Using ontology provides a new intelligent searching method based on Web. In this paper, According to ontology theory of agriculture's characters and combining with the major of soil and agricultural chemistry, the retrieval system took the soil knowledge system as example, took native XML (eXtensible Markup Language) Database-Tamino as information navigation database. According the demands input by users, this system will display related information by tree and understand user's demands through clicks, primarily realize Web's intellective searching. This article still introduces the design and implement process of the intellective retrieval system, XML and JSP (Java Server Pages) technology in detail. The system application can be spread for other shared information resources retrieval, providing efficient and relevant services for users.