Soil Knowledge Intelligent Retrieval System Based on Ontology

Zhang Xiaoshuan Z. X., Zhao Qingling Z. Q., Tian Dong T. D., Zhao Ming Z. M.

11th WSEAS International Conference on Automatic Control, Modelling and Simulation, İstanbul, Turkey, 30 May - 01 June 2009, pp.79-81 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.79-81
  • Istanbul Technical University Affiliated: No


With the development and popularization of Internet, The research focuses oil how to get the requirement quickly and exactly from a large number of information. Using ontology provides a new intelligent searching method based oil 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, tills 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.