An Event-Triggered Model for Disaster Retrieval via Meta Search Interface

Disasters occur and are broadcasted by social media in our daily life. Retrieving the user-oriented relevant events in an aggregated results list through meta-search engine is a useful application. The definition and detection of events has been a hot topic in the study of natural language processing. Then gathering the disaster event information via different search interface for an event chain releasing is important. This paper designed an event-triggered model for events detection. As the emergency requirement of government as well as individual activities, disaster events detection is discussed as an example in this paper. A meta-search engine interface model is constructed with java based on the open source project Carrot2. And a H-T-E (Hazard, Trigger and Event) query expansion approach is applied in our event triggered model. The experimental results show that the proposed method can bring about increased accuracy and extra clues not supplied by commercial search engines. The solution we applied can be useful for other information supervision tasks and some issues like expecting the unexpected crisis etc. Also triggered by the project for further study.