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

摘要/Abstract

摘要：

针对装备试验鉴定领域数据复杂性带来的数据治理难题, 提出通过构建知识图谱辅助相关试验鉴定机构开展数据治理的技术思路。分析试验鉴定任务与领域数据特点, 在斯坦福本体构建流程的基础上, 设计了一种具有试验鉴定领域普适性的本体构建方法。基于该方法构建的知识图谱本体模型, 具有明确的业务针对性与体系拓展性。最后，通过典型示例验证了该方法构建知识图谱, 对试验鉴定领域数据治理工作具有一定的支持能力。

关键词: 试验鉴定, 数据治理, 知识图谱, 知识本体, 本体构建方法

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

中图分类号:

TP18

栾瑞鹏, 张静, 刘立坤. 面向装备试验鉴定领域数据治理的知识图谱本体构建[J]. 系统工程与电子技术, 2024, 46(3): 1013-1020.

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.

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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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