Open Access Paper
12 November 2024 General model of standard knowledge representation and method of knowledge extraction: taking the standards in the field of electric power operation and maintenance as an example
Hongjun Sun, Keqin Gan, Jiuxiu Huang, Yang Du, Huabo Liu, Hui Cao, Jing Li, Zhao Ping
Author Affiliations +
Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133954F (2024) https://doi.org/10.1117/12.3048905
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
Standard digitalization is considered to be of great significance for the digital transformation of industry and society. The author of this paper principally studies the general model of standard knowledge representation and the method of knowledge extraction, in combination with the relevant research and practice at home and abroad, on the basis of ontology and semantic web theory, points out the general model method for constructing the digital representation of standard knowledge and designs the method of standard knowledge extraction. The standards in the field of electric power operation and maintenance are cited as an example to carry out empirical research in this paper, in order to provide methods and experience reference for subsequent related research.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Hongjun Sun, Keqin Gan, Jiuxiu Huang, Yang Du, Huabo Liu, Hui Cao, Jing Li, and Zhao Ping "General model of standard knowledge representation and method of knowledge extraction: taking the standards in the field of electric power operation and maintenance as an example", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133954F (12 November 2024); https://doi.org/10.1117/12.3048905
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KEYWORDS
Standards development

Data modeling

Semantics

Data processing

Instrument modeling

Statistical modeling

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