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Studying the Presence of Terrorism on the Web: A Knowledge Portal Approach

机译:研究网络上的恐怖主义:知识门户方法

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Nowadays, terrorist organizations and their sympathizers are using Web sites and online bulletin boards for propaganda, recruitment and communication purposes. We call this alternate side of the Web used by terrorists, the Dark Web. Dark Web information can be analyzed to enable better understanding and analysis of the terrorism phenomena. However, several problems such as information overload and language barriers are preventing the effective collection of Dark Web contents. We propose a knowledge portal approach [1] and built a Dark Web Portal system to support the discovery and analysis of Dark Web information. Specifically, the Dark Web Portal integrates terrorist-generated multilingual datasets on the Web and uses them to study advanced and new methodologies for predictive modeling, terrorist (social) network analysis, and visualization of terrorists' activities, linkages, and relationships.
机译:如今,恐怖主义组织及其同情者正在使用网站和在线公告板进行宣传,招聘和沟通目的。我们称之为恐怖分子使用的网络的替代一侧,暗网。可以分析暗网信息,以便更好地理解和分析恐怖主义现象。但是,诸如信息过载和语言障碍之类的几个问题正在防止有效地收集暗网内容。我们提出了一种知识门户方法[1]并建立了一个黑色网络门户系统,以支持暗网信息的发现和分析。具体而言,黑暗网络门户集成了网上的恐怖主义的多语言数据集,并使用它们来研究预测建模,恐怖主义(社会)网络分析和恐怖分子活动,联系和关系可视化的先进和新的方法。

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