INFORMATION FILTERING FOR EMERGENCY MANAGEMENT
Shogo Nishida, Mie Nakatani, Takashi Koiso, Yusuke Atoji · Cybernetics & Systems · 2003
Information filtering is an intelligent function that selects the relevant messages and items of use or interest to the user from a large amount of incoming information. This function has become very important for the rapid development of network technology. This article focuses on information filtering for the management of emergency situations. We believe that special purpose-built "information filtering systems" should be developed to cope with the problem of information overload in emergency management. In this article, we first investigated features of information in emergent situations and then proposed an information filtering system for emergency management. The proposed system is composed of two parts: causal analysis and information classification. A prototype system has been developed and its effectiveness was evaluated by experiments.