Building Knowledge Management Systemfor Researching Terrorist Groups on the Web

摘要

Nowadays, terrorist organizations have found a cost-effective resource to advance their courses by posting high-impact Webrnsites on the Internet. This alternate side of the Web is referred to as the “Dark Web.” While counterterrorism researchers seekrnto obtain and analyze information from the Dark Web, several problems prevent effective and efficient knowledge discovery:rnthe dynamic and hidden character of terrorist Web sites, information overload, and language barrier problems. This studyrnproposes an intelligent knowledge management system to support the discovery and analysis of multilingual terrorist-createdrnWeb data. We developed a systematic approach to identify, collect and store up-to-date multilingual terrorist Web data. Wernalso propose to build an intelligent Web-based knowledge portal integrated with advanced text and Web mining techniquesrnsuch as summarization, categorization and cross-lingual retrieval to facilitate the knowledge discovery from Dark Webrnresources. We believe our knowledge portal provide counterterrorism research communities with valuable datasets and toolsrnin knowledge discovery and sharing.