指挥控制与仿真2024，Vol.46Issue(2)：53-62,10.DOI:10.3969/j.issn.1673-3819.2024.02.008
细粒度预警装备领域知识图谱本体构建
Construction of knowledge graph ontology in the field of fine-grained early warning equipment
摘要
Abstract
To solve the problems of unstructured data organization,insufficient detailed description of entity relationship and lack of standardized expression of knowledge representation in the construction of knowledge graph in the field of early warn-ing equipment.Based on the Protégé ontology construction tool,this paper divides the early warning equipment system from top to bottom into equipment principle knowledge class,management support resource class,equipment operation and appli-cation class,etc.,and then refines them.So as to define the concept class and divide the hierarchical relationship,and ex-tract the entities,attributes,relationships and other knowledge units in specific equipment information.Then,the domain knowledge of early warning equipment is modeled,and a scientific and complete knowledge representation framework of fine-grained early warning equipment is explored.Taking"long-range early warning phased array radar"as an example,ontology instance filling and visualization are carried out.Finally,the ontology of early warning equipment is formally represented based on ontology description language.The ontology lays a semantic foundation for the construction of domain knowledge graph based on multi-source high-quality data,and has important practical guiding value for realizing intelligent management support and operational application of equipment such as equipment capability portrait,development trend analysis,equip-ment fault diagnosis,and health status management under the background of big data.关键词
预警装备/本体构建/知识图谱/细粒度Key words
early warning equipment/ontology construction/knowledge graph/fine-grained分类
军事科技引用本文复制引用
杨丽萍,方其庆,胡亚慧,谷成刚..细粒度预警装备领域知识图谱本体构建[J].指挥控制与仿真,2024,46(2):53-62,10.基金项目
全军军事类研究生重点资助课题 （）
学院厚基工程项目(HJGC-2022-015) （HJGC-2022-015）
