Dawood, Zubeida CVan 't Wout, C2023-01-172023-01-172022-10Dawood, Z.C. & Van 't Wout, C. 2022. An ontology towards predicting terrorism events. <i>International Journal of Cyber Warfare and Terrorism (IJCWT).</i> http://hdl.handle.net/10204/125701947-34351947-3443DOI: 10.4018/IJCWT.311421http://hdl.handle.net/10204/12570Although there is an increasing amount of information for counter-terrorism operations freely available online, it is a complex process to extract relevant information and to detect useful patterns in the data in order for intelligence functionaries to identify threats and to predict possible terror attacks. Automation is required for intelligent decision-making. To assist with this, in this paper, the researchers propose an ontology-based data access system for counter-terrorism. The system will enable intelligence analysts to perform specialised semantic searches about terrorist events or groups for analysis using an ontology. In this paper, the researchers present the ontology that was created by following an existing methodology for ontology development, and an ontology-based data access system together with all the components used in development (i.e., databases, web-scraper tools, ontology-based data access software, and data sources). Lastly, the ontology is demonstrated by means of use cases with example queries for generating actionable intelligence for operations.AbstractenOntologySemantic InteroperabilitySemantic WebTerror attacksTerrorismWeb scraperArticleDawood, Z. C., & Van 't Wout, C. (2022). An ontology towards predicting terrorism events. <i>International Journal of Cyber Warfare and Terrorism (IJCWT)</i>, http://hdl.handle.net/10204/12570Dawood, Zubeida C, and C Van 't Wout "An ontology towards predicting terrorism events." <i>International Journal of Cyber Warfare and Terrorism (IJCWT)</i> (2022) http://hdl.handle.net/10204/12570Dawood ZC, Van 't Wout C. An ontology towards predicting terrorism events. International Journal of Cyber Warfare and Terrorism (IJCWT). 2022; http://hdl.handle.net/10204/12570.TY - Article AU - Dawood, Zubeida C AU - Van 't Wout, C AB - Although there is an increasing amount of information for counter-terrorism operations freely available online, it is a complex process to extract relevant information and to detect useful patterns in the data in order for intelligence functionaries to identify threats and to predict possible terror attacks. Automation is required for intelligent decision-making. To assist with this, in this paper, the researchers propose an ontology-based data access system for counter-terrorism. The system will enable intelligence analysts to perform specialised semantic searches about terrorist events or groups for analysis using an ontology. In this paper, the researchers present the ontology that was created by following an existing methodology for ontology development, and an ontology-based data access system together with all the components used in development (i.e., databases, web-scraper tools, ontology-based data access software, and data sources). Lastly, the ontology is demonstrated by means of use cases with example queries for generating actionable intelligence for operations. DA - 2022-10 DB - ResearchSpace DP - CSIR J1 - International Journal of Cyber Warfare and Terrorism (IJCWT) KW - Ontology KW - Semantic Interoperability KW - Semantic Web KW - Terror attacks KW - Terrorism KW - Web scraper LK - https://researchspace.csir.co.za PY - 2022 SM - 1947-3435 SM - 1947-3443 T1 - An ontology towards predicting terrorism events TI - An ontology towards predicting terrorism events UR - http://hdl.handle.net/10204/12570 ER -26162