Research on the Semantic Web-Based Technology of Knowledge Integration for Agricultural Production

Agricultural knowledge representation, organization and integrated application in distribute environment is a complex and difficult problem, mainly due to the distributed, polymorphic and heterogeneous characteristics of the agricultural knowledge resources. In order to overcome the problem, an application framework which supports the agricultural production knowledge integration based on semantic Web technology was designed. The framework was divided into four layers including data layer, operation application layer, knowledge integration layer and knowledge service layer. The structure and function of each layer was introduced. The key techniques for knowledge representation and description, construction of knowledge chain, knowledge transformation method and knowledge retrieval and integration were studied. Finally, an agricultural knowledge semanteme retrieval prototype system was proposed. The new system was validated with more than 2000 documents describing agricultural production. The results show that the method established in the new system can improve the precision ratio effectively than the traditional methods.