摘要
针对海量情报数据的复杂目标关系及关系分析需求,提出了基于图模型的数据组织及关联分析方法。首先,基于图形数据库,提出了一种情报数据组织模型;然后,针对该模型,分别给出了3种目标关系抽取方法和3种目标关联分析方法;最后,进行了态势情报的目标关联分析应用试验。试验结果表明,该方法在海量情报数据关联处理方面具有较高实用价值。
Aiming at the complex target relationships and their analysis requirements of massiveintelligence data,a target data organization and an association analysis method based on graphicalmodel are proposed.Firstly,an intelligence data organization model is presented based on thegraph database.Then,aiming at the model,three target relationship extraction methods andthree target association analysis methods are given respectively.Finally,the application experimentof the target association analysis for situation intelligence is conducted.Experimental resultsshow that the method has obvious utility in association of massive intelligence data.
作者
刘格
杨帆
袁翔
刘博
LIU Ge;YUAN Xiang;LIU Bo;YANG Fan(The 28th R esearch Institute of China Electronics Technology G roup C orporation, N anjing 210007, China;D epartm ent of C om puter Science and Technology, N anjing U niversity, N anjing 210093 , China)
出处
《指挥信息系统与技术》
2016年第5期96-101,共6页
Command Information System and Technology
基金
装备发展部"十三五"预研课题资助项目
关键词
图模型
图形数据库
情报数据
数据组织
关联分析
graphical model
graph database
intelligence data
data organization
association analysis
