{"title":"从全球恐怖主义数据库和维基百科构建恐怖分子知识图谱","authors":"Tian Xia, Yijun Gu","doi":"10.1109/ISI.2019.8823450","DOIUrl":null,"url":null,"abstract":"The Global Terrorism Database (GTD) is the most important dataset in counter-terrorism domain. Existed studies based on GTD focused on terrorism influences, data statistics and visualization, and terrorism event mining such as classification and clustering. In this paper, we build a terrorism knowledge graph(TKG) from GTD and Wikipedia. Compared with GTD, TKG enhaced the organizations of terrorism entities and relationships, and enriched the description by attatching Wikipedia knowledges. Therefore, TKG can better the understanding of terrorism attacks for both human beings and machine processing like graph mining and knowledge reasoning.","PeriodicalId":156130,"journal":{"name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Building Terrorist Knowledge Graph from Global Terrorism Database and Wikipedia\",\"authors\":\"Tian Xia, Yijun Gu\",\"doi\":\"10.1109/ISI.2019.8823450\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Global Terrorism Database (GTD) is the most important dataset in counter-terrorism domain. Existed studies based on GTD focused on terrorism influences, data statistics and visualization, and terrorism event mining such as classification and clustering. In this paper, we build a terrorism knowledge graph(TKG) from GTD and Wikipedia. Compared with GTD, TKG enhaced the organizations of terrorism entities and relationships, and enriched the description by attatching Wikipedia knowledges. Therefore, TKG can better the understanding of terrorism attacks for both human beings and machine processing like graph mining and knowledge reasoning.\",\"PeriodicalId\":156130,\"journal\":{\"name\":\"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2019.8823450\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2019.8823450","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Building Terrorist Knowledge Graph from Global Terrorism Database and Wikipedia
The Global Terrorism Database (GTD) is the most important dataset in counter-terrorism domain. Existed studies based on GTD focused on terrorism influences, data statistics and visualization, and terrorism event mining such as classification and clustering. In this paper, we build a terrorism knowledge graph(TKG) from GTD and Wikipedia. Compared with GTD, TKG enhaced the organizations of terrorism entities and relationships, and enriched the description by attatching Wikipedia knowledges. Therefore, TKG can better the understanding of terrorism attacks for both human beings and machine processing like graph mining and knowledge reasoning.
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