GTDOnto: An Ontology for Organizing and Modeling Knowledge about Global Terrorism

In recent years and with the advancement of semantic technologies, shared published online data have become necessary to improve research development in all fields. While many datasets are publicly available social economic domains, most lack standardization. Unlike medical field, where terms concepts well defined using controlled vocabulary ontologies, not. Experts such as National Consortium for Study Terrorism Responses (START) collect on global incidents publish them Global Database (GTD). Thus, deficient technical modeling its metadata. this paper, we proposed GTD ontology (GTDOnto) organize model knowledge about incidents, targets, perpetrators, weapons, other related information. Based NeOn methodology, goal is build effort START present vocabularies a machine-readable format that interoperable can be reused describe potential future. The GTDOnto was implemented Web Ontology Language (OWL) Protégé editor evaluated by answering competency questions, domain experts’ opinions, running examples representing actual incidents. further used leverage publishing graph visualizes applications enrich content.