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

Abstract:

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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".

Info:

Periodical:

Advanced Materials Research (Volumes 291-294)

Edited by:

Yungang Li, Pengcheng Wang, Liqun Ai, Xiaoming Sang and Jinglong Bu

Pages:

2374-2378

DOI:

10.4028/www.scientific.net/AMR.291-294.2374

Citation:

Q. L. Zeng et al., "Coal Face "Three-Machine" Selection and Matching Knowledge Modeling Based on Ontology", Advanced Materials Research, Vols. 291-294, pp. 2374-2378, 2011

Online since:

July 2011

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Price:

$35.00

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