摘要
随着信息技术的迅捷发展,军事信息系统采集与接入数据的来源和种类呈指数级增长。海量多源异构的多模态数据存在难以耦合、对作战用户的高价值信息密度低的问题。通过构建军事信息知识图谱可以有效集成各类数据,挖掘数据之间的耦合点和关联性。但图结构的扁平化特征会导致基于作战主题的深度信息搜索效率偏低。针对这一缺点,提出基于刻面思想,利用已构建军事信息知识图谱上的数据生成信息目录的方法,提高数据资源的有效利用率。
With the rapid development of information technology,the sources and types of data collected and accessed by military command information systems have grown exponentially.Meanwhile,massive multi-source heterogeneous multimodal data has such problems as difficult coupling,and low density of high-value information provided to combat users.By constructing a knowledge graph of military information,various types of data can be effectively integrated and the coupling points and correlation between data can be mined.However,the flattening features of the graph structure leads to the weakness of low searching efficiency of deep information based on combat themes,as for the weakness.Therefore,a method of generating information catalog based on stereotypical thinking with data on constructed military knowledge graph is proposed to improve the effective utilization rate of data resources.
作者
纪恩怀
刘思培
侯海婷
严乐天
王鹏飞
李清玉
JI Enhuai;LIU Sipei;HOU Haiting;YAN Letian;WANG Pengfei;LI Qingyu(North Information Control Research Institute,Nanjing 211100,China)
出处
《火力与指挥控制》
CSCD
北大核心
2024年第7期169-172,179,共5页
Fire Control & Command Control
基金
中国博士后科学基金第72批面上基金资助项目(2022M720200)。
关键词
数据目录
知识图谱
数据挖掘
刻面分类
data catalog
knowledge graph
data mining
faceted classification