摘要
传统的农业知识服务是基于关键字而不是基于内容的,查全率和查准率都有待提高,运用基于语义网的知识表达,可以真正实现语义级的知识服务。分析了农业知识服务系统的现状并指出其不足,阐述了语义网技术和本体构建方法;构建基于语义网的农业知识服务系统模型并给出了它的框架结构和功能设计;并设计了适合种植、生产与销售实际的茶叶本体,部分实现了茶叶领域的农业知识服务系统。
Traditional agricultural knowledge service is based on
出处
《安徽农业科学》
CAS
北大核心
2010年第30期17222-17224,共3页
Journal of Anhui Agricultural Sciences
基金
浙江省教育厅科研计划项目(Y200907504)
关键词
农业知识服务
语义网
本体
JAVA
MYSQL
rather than content
the recall rate and precision rates are to be improved. The knowledge representation based on semantic Web can truly achieve the semantic-level knowledge services. The status of agricultural knowledge services system was analyzed and its shortcomings were pointed out
semantic web technologies and building methods of ontology were elaborated
the model of agricultural knowledge services system based on the semantic Web was built
the framework and function design were given. An ontology adapting to the plantation
production and market in tea field was constructed
tea knowledge services system was partly achieved.Key words Knowledge services
Semantic web
Ontology
Java
MySQL
