Design and Development of an Early Warning System to Prevent Terrorist Attacks
EWAS is an early warning prototype that collects and analyzes news items from the European Media Monitor. Although, it currently processes news articles, it can easily be adapted to any other form of text. Data mining functions performed by the system are categorization, clustering, and named entity extraction. The main design concern of the system is scalability, which is achieved by a modular architecture that allows multiple instances of the same component to run in parallel. The main objective behind this research is to develop a system to identify “who is doing what to estimate “who can do what in order to predict “what can really happen tomorrow.
early warning system European media monitor iMiner Spiner SOMA Terrorist Organization Portal
Nasrullah Memon Uffe Kock Wiil Abdul Rasool Qureshi
The Maersk Mc-Kinney Moller Institute University of Southern Denmark Campusvej 55, 5230 Odense M, De Etilize Inc., 26-E P.E.C.H.S block 6, Karachi, Pakistan
国际会议
北京
英文
2979-2983
2009-08-08（万方平台首次上网日期，不代表论文的发表时间）