首页|Research of Equipment Selection and Matching Expert System in Fully Mechanized Caving Face Based on Ontology
Research of Equipment Selection and Matching Expert System in Fully Mechanized Caving Face Based on Ontology
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
The technologies of expert system, ontology modeling and reasoning are studied and applied in this paper. A framework of ontology-based expert system for equipment selection and matching in fully mechanized caving face is built up. The OWL(Web Ontology Language) based equipment knowledge base is set up, and the redundant test is made in the protege environment. The equipment selection and matching rules are built up by using SWRL(Semantic Web Rule Language). By using JAVA language, the output of equipment selection expert system is optimized based on the theory of Analytic Hierarchy Process. At last, the functions of the expert system are achieved under JESS(Java Expert System Shell) environment. Practical application shows that the equipments selected and matched by ontology-based expert system are more realistic.
expert systemontologyfully mechanized caving face equipmentprotegeJESS
Liu Zhi-hai、Zeng Qing-liang、Wang Cheng-long、Li Yu-shan
展开 >
College of Mechanical and Electrical Engineering, Shandong University of Science and Technology,Qingdao 266510, China
NETL
NSTL
