面向装备试验鉴定领域数据治理的知识图谱本体构建

doi:10.12305/j.issn.1001-506X.2024.03.27

Abstract

Abstract:

Aiming at the problem of data governance caused by the complexity of data in the field of equipment testing and indentification, the technical idea of assisting relevant test and indentification institutions to carry out data governance by constructing knowledge graph is put forward. Based on the analysis of the characteristics of test identification tasks and domain data, an ontology construction method with universality in the field of testing and identification is designed on the basis of Stanford ontology construction process. The knowledge graph ontology model constructed based on this method has clear business pertinence and system expansion. Finally, through typical examples, the knowledge graph constructed by this method is verified to support the data governance in the field of equipment testing and indentification.

Key words: test indentification, data governance, knowledge graph, knowledge ontology, ontology construction method

CLC Number:

TP18

Ruipeng LUAN, Jing ZHANG, Likun LIU. Knowledge graph ontology construction for data governance in equipment testing and indentification field[J]. Systems Engineering and Electronics, 2024, 46(3): 1013-1020.

Figures/Tables 9

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References 31

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总体任务阶段	论证、总案、性能试验、作战试验
子任务/次	28
具体事件/万次	0.39
指标体系	性能指标体系、效能指标体系
试验装备/台套	72
保障设施/(处/点)	28
试验文书/份	834
数据文件/份	749
结构化数据/亿条	2.19
影音图像/万份	16.8
人工记录表/份	485
参试人员/人	400

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Knowledge graph ontology construction for data governance in equipment testing and indentification field

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