单 位：
国家农业信息化工程技术研究中心;农业部农业信息技术重点开放实验室
关键词：
知识集成;语义网;本体;知识检索;知识链
摘 要：
由于农业知识资源具有分布、多态、异构等特性,分布式计算环境下知识表示、组织和集成应用是一个非常复杂且具有挑战性的问题。该文基于语义Web技术提出了支持农业生产知识集成的系统框架,介绍了该框架的数据层、业务系统层、知识集成层和知识应用层的架构构成,并对其中的知识表示与描述、知识链构建、知识转化方法以及知识检索与集成等关键技术问题进行了研究,构建了农业知识语义检索原型系统,并以2000余篇农业资料为对象进行知识检索分析,结果表明,相对于传统关键词检索方式,基于语义的知识检索方法能够显著提高查准率。
译 名：
Technology of agricultural production knowledge integration based on semantic web
作 者：
Sun Xiang 1,2 ,Feng Chen 1,2 ,Wu Huarui 1,2 (1.National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China; 2.Key Laboratory for Information Technologies in Agriculture,Ministry of Agriculture,Beijing 100097,China)
关键词：
retrieval. Key words:knowledge integration;semantics web;ontology;knowledge retrieval;knowledge chain
摘 要：
Agricultural knowledge representation,organization and integrated application in distributed 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 realized.The new system was validated by 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 method of
