基于本体与SWRL的工艺知识表示与语义推理  

Knowledge Representation and Semantic Inference of Process based on Ontology and SWRL

作　　者：崔祥友 唐敦兵[1] 朱海华[1] 殷磊磊 

机构地区：[1]南京航空航天大学机电学院,江苏南京210016

出　　处：《机械制造与自动化》2017年第3期6-10,共5页Machine Building & Automation

基　　金：国家自然科学基金资助项目(51175262);江苏省杰出青年基金项目(BK2012032)

摘　　要：传统的专家系统并不能有效解决工艺推理问题,但本体技术和语义推理技术为解决专家系统在知识获取以及智能化推理方面的不足提供了有效解决方案。首先介绍本体知识、SWRL规则、相关推理引擎等;其次提出了基于本体与SWRL规则的工艺推理整体流程,并详细描述了工艺知识本体的构建方法;随后结合实例说明SWRL规则编写规范,并验证了该工艺推理方法的可行性。The traditional expert system can not be used to solve the problems of process reasoning effectively, but the technology of ontology and semantic inference can be used to offer the valid solution for the lack of knowledge acquisition and intelligent inference of expert system. The ontology,SWRL rule and the relevant inference engine are introduced,the inference process of process based on ontology and the SWRL rule is proposed,the construction method of the process ontology and the writing standards of SWRL rule are described in detail,and then,the results of process inference are given not in this paper.

关 键 词：本体 SWRL 工艺知识 语义推理 

分 类 号：TH164[机械工程—机械制造及自动化]