农业本体中信息关联挖掘及映射技术

随着物联网技术的发展，通过各类农业传感器终端可以获取海量信息，但机器不能根据上下文准确判定信息是否有用.针对此问题，研究了类图映射本体模型，通过UML模型增强检测关联的可能性，并在对应的编辑器中直观地显示实体、属性和联系，形象地呈现出农业领域概念关系.基于Protege平台进行实验，结果表明对2个不同模型作合并关联，明显地增强了本体模型的关联性，成功地实现了UML到本体之间的映射，达到了扩展本体的目的.

Agricultural Ontology Information Association Mining and Mapping Technology

Massive information can be obtained from varieties of sensors in the agricultural Internet of Things,but machines cannot accurately determine whether the information is valuable.This paper uses class diagram mapping to an ontology model and enhances the association possibilities through UML model.The main effort is to present conceptual relationships in agricultural domains in a visualized way.It includes visualizing individual entities,their attributes and relationships in the corresponding editor.Experiment through protege shows that association of the two models significantly enhances the associations in the agricultural ontology models,realizes the mapping between UML and ontologies,and provides possibilities for ontology expansion.