摘要
为解决体系作战能力分析中底层数据与分析者期望获取的"体系的能力"之间的巨大语义鸿沟难题,提出采集数据向体系作战能力映射的数据预处理方法。在详细分析原始数据层、基础数据表层、面向主题的数据表层的生成,以及原始数据向基础数据表的映射、基础数据表向面向主题数据表的映射等问题的基础上,提出将采集数据通过逐步聚合提炼,形成适合体系能力描述需要的"四层三级"数据向体系作战能力度量的映射方法框架,并通过实例验证该方法的可行性。
In order to solve the problem of huge semantic gap between the underlying data and the“capability of the system”that analysts expect to acquire in the analysis of system combat capability,a data preprocessing method is proposed to map the acquisition data to the system combat capability.This paper firstly analyzes the generation of the original data layer,the basic data layer and the topic oriented data layer,as well as the mapping of the original data to the basic data table,and the mapping of the basic data table to the topic oriented data table,etc.Then,it proposes that the collected data should be aggregated and refined gradually to form mapping method framework,which is suitable for the description of"four layers and three levels"data to the system combat capability.Finally,it verifies the feasibility of the method through an example.
作者
邓晶
陈慧
DENG Jing;CHEN Hui(Office of Information Support,Staff of Army,Beijing 100091,China)
出处
《军事交通学院学报》
2020年第5期89-95,共7页
Journal of Military Transportation University
关键词
数据映射
信息保障体系能力
大数据
数据提炼
数据采集
data mapping
information support system capability
big data
data extraction
data collection