Research on Modeling and Reasoning Framework of Ontology-Based Equipment Selection and Matching Expert System in Fully Mechanized Caving Face
In this paper, ontology modeling language and reasoning engines are studied and applied, framework model of ontology-based expert system is built up, the model tree of classes and instances of fully mechanized caving used equipments is brought forward, OWL-based equipment knowledge base is created by using protégé tool, knowledge rules of mining equipments selection and matching are analyzed, and SWRL-based selection and matching rules are designed. Finally, the rule conversion and reasoning is realized in JESS environment.
Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie
Q. L. Zeng et al., "Research on Modeling and Reasoning Framework of Ontology-Based Equipment Selection and Matching Expert System in Fully Mechanized Caving Face", Applied Mechanics and Materials, Vols. 16-19, pp. 764-768, 2009