Computer Science and Information Technology, International Conference on (2009)
Aug. 8, 2009 to Aug. 11, 2009
Nasrullah Memon , The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
Uffe Kock Wiil , The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Campusvej 55, 5230 Odense M, Denmark
Abdul Rasool Qureshi , Etilize Inc., 26-E P.E.C.H.S block 6, Karachi, Pakistan
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”.
Nasrullah Memon, Uffe Kock Wiil, Abdul Rasool Qureshi, "Design and development of an early warning system to prevent terrorist attacks", Computer Science and Information Technology, International Conference on, vol. 00, no. , pp. 222-226, 2009, doi:10.1109/ICCSIT.2009.5234424