Building Terrorist Knowledge Graph from Global Terrorism Database and Wikipedia

摘要

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 enhanced the organizations of terrorism entities and relationships, and enriched the description by attaching Wikipedia knowledges. Therefore, TKG can better the understanding of terrorism attacks for both human beings and machine processing like graph mining and knowledge reasoning.