情报任务解决中多源数据的适用研究

Research on the Applicability of Multi-source Data in Intelligence Tasks Resolving

[目的/意义]智能时代情报分析更强调定量研究,强调用“数据”说话。探究情报分析中常用的数据类型与情报任务的适用关系,实现对多种数据的组织与分类。[方法/过程]从数据的具体类型、分析单元入手梳理不同数据解决情报分析中具体任务的场景。[结果/结论]对7大类(26个二级类)数据类型与6大类情报任务(12个二级类,30个三级类)的适用匹配情况进行详解,发现不同类别数据的特性,揭示当前情报分析中多源数据的应用趋势。

[Purpose/significance]Intelligence analysis in the era of intelligence emphasizes quantitative research and speak-ing with“data”.This article aims to explore the applicable relationship between commonly used data types and intelligence tasks in intelligence analysis,so as to achieve the organization and classification of multiple data.[Method/process]Starting from the spe-cific types of data and analysis units,this article sorts out the scenarios of different data solving specific tasks in intelligence analy-sis.[Result/conclusion]This article provides a detailed explanation of the applicability relationship between seven major categories(26 sub-categories)of data types and six major categories of intelligence tasks(12 sub-categories,30 third-level categories).It finds the characteristics of different types of data and reveals the application trend of multi-source data in current intelligence analysis.