摘要
装备保障性验证是控制装备保障性达到目标要求的有效手段,目前,装备保障性验证领域积累了很多技术方法以及海量异构的数据。知识图谱具有对知识、数据进行梳理从而进一步实现机器智能的作用。构建装备保障性验证领域知识图谱也将是装备保障性领域迈向智能化的开端。首先简要介绍装备保障性验证发展现状,其次概括知识图谱构建的技术方法和研究热点,然后提出装备保障性验证领域知识图谱构建方法以及逻辑和技术流程,最后对未来发展前景做了展望。
Equipment supportability verification is an effective means to control equipment supportability to meet target requirements. At present, the field of equipment support verification has accumulated many technical methods and massive heterogeneous data. Knowledge graph has functions for sorting knowledge and data to further realize machine intelligence.Building knowledge graph for equipment supportability verification marks the initial effort of intelligence in the field of equipment supportability. This paper firstly introduces the development status of equipment supportability verification. Then, it summarizes the technical methods and research focuses of knowledge graph construction. Thirdly, it proposes the method as a logic and the technical process of knowledge graph construction in the field of equipment supportability. Finally, it depicts the future development.
作者
刘晨光
李星新
于永利
孙也尊
LIU Chenguang;LI Xingxin;YU Yongli;SUN Yezun(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050051,China;Unit 32382 of PLA,Beijing 100000,China)
出处
《软件工程》
2020年第9期5-8,4,共5页
Software Engineering
关键词
装备保障性
异构数据
知识图谱
本体
知识抽取
equipment supportability
heterogeneous data
knowledge graph
ontology modeling
knowledge extraction
knowledge fusion