Coal Face "Three-Machine" Selection and Matching Knowledge Modeling Based on Ontology

Abstract

The successful matchings of the coal face equipments can fully play the effect of complete sets of equipments and achieve high yields and efficiency on coal faces .in this paper, ontology is used in the "three-machine"selection and matching knowledge modeling, which adopts the thought of combination on lateral and vertical modelings, and reuses the semantic body technology according to the characteristics of "three-machine" knowledge. As a result, the efficiency of ontology construction is improved largely and ontology structuration and standardization are strengthened. The ontology not only provides the exact knowledge representations, but also achieves knowledge reasoning and queries based on users to realize knowledge sharing and reusing. It provides a technical support for optimal matchings on" three-machine".

Research on High-Pressure Hose Knitting Machine Knowledge Modeling Based on Ontology

“…This query is based on the semantic query, with a wider range and higher accuracy, which can query super classes, ancestor classes, equivalent classes, subclasses, descendant classes and individuals. DL Query embedded in protege4.0 [4]provides the only class-based, not attribute-based inquiries. Query interface is shown in Fig.…”