面向涉恐领域的知识图谱构建方法  

Construction method of knowledge graph for terrorism domain

作　　者：廖浚斌 周欣 何小海[1] 王正勇[1] 卿粼波[1] Liao Junbin;Zhou Xin;He Xiaohai;Wang Zhengyong;Qing Linbo(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065,China;China Information Technology Security Evaluation Center,Beijing 100085,China)

机构地区：[1]四川大学电子信息学院,四川成都610065 [2]中国信息安全测评中心,北京100085

出　　处：《信息技术与网络安全》2019年第9期34-38,共5页Information Technology and Network Security

基　　金：四川省科技计划项目(2018HH0143);四川省教育厅项目(18ZB0355)

摘　　要：近年来,世界各地的恐怖袭击事件时有发生,为了减轻安防人员对涉恐信息分析工作的负担,需要提供工具辅助相关人员对海量信息进行整理,因此研究并实现了面向涉恐领域的知识图谱。首先,针对海量的互联网信息,采用了分布式爬虫技术进行数据的采集,并使用双向门控神经网络(BI-GRU)+注意力机制(Attention Mechanism,Att)等模型实现对信息的抽取;然后构建了涉恐领域本体库,并在此基础上完成了涉恐领域知识图谱的构建以及知识图谱的可视化展示。该研究成功地将知识图谱的构建技术应用到涉恐领域,对相关工作有一定的参考价值。In recent years,terrorist attacks occur frequently around the world.In order to alleviate the burden of security personnel on the analysis of information related to terrorism,it is necessary to provide tools to assist the relevant personnel in collating the vast amount of information.Therefore,the knowledge graph for the field of terrorism is studied and implemented.Firstly,distributed crawler technology is used to collect massive Internet information,and bi-directional gated neural network (BI-GRU)+Attention Mechanism (Att) model is used to extract information.Then,the domain ontology base of terrorism is constructed,and on this basis,the domain knowledge graph of terrorism and the visual display of the knowledge map are completed.This paper successfully applied the construction technology of knowledge graph to the field of terrorism,and has certain reference value for related work.

关 键 词：涉恐领域 知识图谱 本体库 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]