Hybrid model of content extraction
Journal of Computer and System Sciences
| Hi-index | 0.00 |
No terrorist attacks are performed at once. The attacks are usually carried out after a well planned analysis composed of complete requirements analysis and resource allocation phases. Presently, a consensus is found that the Internet is being used by terrorists for implementation of their plans, and many ideas of early warning systems have been appearing recently. These early warning systems are based on the principles of retrieving and extracting information available online usually in the form of news items or similar pages. The idea behind such warning systems is mainly frequency-based (i. e., the number of appearances of any entity over a particular time span). The rest of the logic revolves around that entity. In this paper, we discuss some important issues related to this type of approach. We also present functional requirements for such early warning systems along with some design constraints. Finally, we introduce a novel approach to address these issues, which is currently being implemented in the Early Warning System (EWaS).