Building Terrorist Knowledge Graph from Global Terrorism Database and Wikipedia

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.