Knowledge Representation and Semantic Inference of Process Based on Ontology and Semantic Web Rule Language

作     者：Zhu Haihua Li Jing Wang Yingcong 

作者机构：College of Mechanical and Electrical EngineeringNanjing University of Aeronautics and AstronauticsNanjing 210016P.R.China 

出 版 物：《Transactions of Nanjing University of Aeronautics and Astronautics》 (南京航空航天大学学报（英文版）)

年 卷 期：2017年第34卷第1期

页      面：72-80页

核心收录：

学科分类：08[工学] 080202[工学-机械电子工程] 0802[工学-机械工程] 0825[工学-航空宇航科学与技术] 0704[理学-天文学] 

基　　金：supported by the National Science Foundation of China(No.51575264) the Jiangsu Province Science Foundation for Excellent Youths under Grant BK20121011 the Fundamental Research Funds for the Central Universities(No.NS2015050) 

主　　题：ontology semantic web rule language (SWRL) process plan knowledge semantic inference 

摘      要：The process inference cannot be achieved effectively by the traditional expert system,while the ontology and semantic technology could provide better solution to the knowledge acquisition and intelligent inference of expert system.The application mode of ontology and semantic technology on the process parameters recommendation are mainly investigated.Firstly,the content about ontology,semantic web rule language(SWRL)rules and the relative inference engine are introduced.Then,the inference method about process based on ontology technology and the SWRL rule is proposed.The construction method of process ontology base and the writing criterion of SWRL rule are described later.Finally,the results of inference are obtained.The mode raised could offer the reference to the construction of process knowledge base as well as the expert system s reusable process rule library.