Research on Modeling and Reasoning Framework of Ontology-Based Equipment Selection and Matching Expert System in Fully Mechanized Caving Face

Abstract:

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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.

Info:

Periodical:

Edited by:

Kai Cheng, Yongxian Liu, Xipeng Xu and Hualong Xie

Pages:

764-768

DOI:

10.4028/www.scientific.net/AMM.16-19.764

Citation:

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

Online since:

October 2009

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$35.00

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