Title :
Information Extraction for Counter-Terrorism: A Survey
Author :
Zamin, Norshuhani
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. Teknol. PETRONAS, Tronoh, Malaysia
Abstract :
The awareness of terrorism has increased since the event of the September 11 in the U.S. It has focused the spotlight on the absence of information available about terrorism. The fight against terrorism has trigger new effort to find better approaches to intelligence data gathering and analysis. Generally, a major activity in counter-terrorism is the ability to process high-volumes of data using various Artificial Intelligence (AI) techniques to identify potential threats. Recently, there has been a huge increase in the amount of intelligence-surveillance data literature. However, it so difficult to gain access to relevant data when the data are scattered in different departments and exist in many forms such as phone tap scripts, internet usage logs, emails, seized hard-drive, CCTV video, images, etc. In this paper, a survey is presented on the technical challenges in extracting terrorism data and sets forth several significant approaches to these technical challenges. The performance by each reviewed approaches in counter terrorism and other domains is evaluated. The potential of using Link Grammar (LG) in information processing is also explored.
Keywords :
administrative data processing; artificial intelligence; national security; surveillance; terrorism; artificial intelligence techniques; counter-terrorism; information extraction; information processing; intelligence data gathering; intelligence-surveillance data literature; link grammar; Artificial intelligence; Counting circuits; Data analysis; Data mining; Electronic mail; Government; Humans; Internet; Scattering; Terrorism; counter-terrorism; information extraction.; terrorism;
Conference_Titel :
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5166-1
Electronic_ISBN :
978-0-7695-3862-4
DOI :
10.1109/ComputationWorld.2009.105