摘要
大数据时代,军事信息呈现出来源广泛、格式多样、数据体量大、价值密度低的特点,如何解决多源数据获取手段少、融合程度低、分析挖掘弱等问题,是新一代军事信息系统建设的关键。本文提出了一种面向多源数据的新型军事信息系统架构,实现了全源信息引接、分布式数据存储、批量计算与流计算、作战场景专题分析与数据可视化;设计了以大数据分析为核心的军事信息处理流程,采用大数据工具对全源数据进行处理,实现快速化、自动化、精准化信息保障,适应瞬息万变的战场态势;研究了联合作战背景下的多源异构数据融合及军事领域知识图谱构建技术,为联合作战指挥决策提供高效、精准、可靠的数据支撑。
In the era of big data,military information has the characteristics of multiple sources,various forms,large volume and low value-density.Therefore,the key task of military information processing system is to solve the problem of data acquisition,data fusion and data analysis.In this paper,a novel military information processing system is designed,which is capable to realize mulita-source acquisition,distributed data storage,mass data and streaming data computation,special scene analysis and data visualization.A processing flow based on big data analysis is proposed.It is suitable for rapidly changed war situation due to the characteristic of speediness,automation and precision.Moreover,a detailed scheme of multi-source information fusion is demonstrated,as well as the method of knowledge graphics in military domain.The method in this paper is capable to provide efficient,precise,and reliable intelligence for jointed operations.
作者
李卫星
王峰
李智国
李思阳
LI Wei-xing;WANG Feng;LI Zhi-guo;LI Si-yang(66132 troop of PLA,Beijing 100042,China)
出处
《中国电子科学研究院学报》
北大核心
2020年第3期237-243,共7页
Journal of China Academy of Electronics and Information Technology
基金
国家社科基金青年项目(2019-SKJJ-C-006)。
关键词
大数据
军事信息
多源数据融合
知识图谱
big data
military information
multi-source fusion
knowledge graphics