An Ontology Towards Predicting Terrorism Events

IF 0.2 Q4 POLITICAL SCIENCE International Journal of Cyber Warfare and Terrorism Pub Date : 2022-01-01 DOI:10.4018/ijcwt.311421
Zubeida Dawood, Carien Van 't Wout
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引用次数: 0

Abstract

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.
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恐怖主义事件预测本体论
尽管网上免费提供的反恐行动信息越来越多,但提取相关信息和检测数据中的有用模式是一个复杂的过程,以便情报人员识别威胁并预测可能的恐怖袭击。智能决策需要自动化。为此,研究人员提出了一种基于本体的反恐数据访问系统。该系统将使情报分析员能够对恐怖事件或团体进行专门的语义搜索,以便使用本体进行分析。在本文中,研究人员介绍了通过遵循现有的本体开发方法创建的本体,以及一个基于本体的数据访问系统,以及开发中使用的所有组件(即数据库、web scraper工具、基于本体的数据访问软件和数据源)。最后,通过用例和示例查询来展示本体,以生成可操作的操作智能。
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来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
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