Research of Maize Field Knowledge Representation Building Based on Ontology

摘要：

　　The knowledge representation of the traditional artificial intelligence used different modeling methods and the different development tools,it led to the lack of interoperability between all kinds of knowledge,ontology solved the problem.Ontology,which is a model in semantic and knowledge hierarchy describing the concept and the relationship between the concepts,has been the focus of the field of artificial intelligence since it was proposed.This paper explored the knowledge representation based on ontology in the field of artificial intelligence,built the maize domain knowledge ontology,the result shows:ontology can effectively solve the heterogeneous problem of expression of complex knowledge,makes the computer to understand information for the semantic level,and benefit to develop the intelligent systems of maize.

关键词： artificial intelligence knowledge representation and modeling ontology Maize Protege OWL

作者: Ying Zhang Guifen Chen

作者单位: College of Information Technology, Jilin Agriculture University, Chang Chun, China

会议类型: 国际会议

会议名称: 2012 International Conference on Electrical Insulating Materials and Electrical Engineering(EIMEE2012)(2012年电绝缘材料和电气工程国际会议)

会议地点: 沈阳

会议语种:英文

页码: 441-445

在线出版日期: 2012-05-25（万方平台首次上网日期，不代表论文的发表时间）