Abstract
Information filtering is a function to select useful or interesting information for the user among a large amount of information. This function has become very important as network technology develops rapidly. This paper focuses on information filtering for emergency management. When a large-scale disaster happens, the problem of information flood can be very serious because a great deal of information occur in a short time and they are sent to a person or an organization that is responsible for managing the situation.
In this paper, we first consider features of information in emergency situations, and propose an information filtering system for emergency management. The proposed system is composed of three parts, that is, message structuring part, causal analysis part and information classification part. A prototype system is developed and its effectiveness is evaluated by experiments.
