A Semantic Web Services GIS based Emergency Management Application
This paper presents a submission to the Semantic Web Challenge 2006. The authors of this entry are Vlad Tanasescu, Alessio Gugliotta, John Domingue, Rob Davies, Leticia Gutiérrez-Villarías, Mary Rowlatt, Marc Richardson, and Sandra Stinčić.
In an emergency situation, relevant information about involved elements is required. This information ranges from demographic data, weather forecasts and sensor data, available transportation means, presence of helpful agents, land use and cover statistics or values, etc. Moreover, the emergency management process is dynamic as it involves several definite steps, described in standard procedures from which the Emergency Officer (EO) should not depart without good reason. Multiple agencies own the relevant data and possess parts of emergency related knowledge.
The proposed Emergency Management Application (EMA) is a decision support system based on Semantic Web Services (SWS) technology, which assists the EO in the tasks of retrieving, processing, displaying, and interacting with only emergency relevant information, more quickly and accurately. As a result, the involved agencies become able to extend their knowledge about the emergency situation by making use of different functionalities based on date held by other agencies which otherwise might not be accessible to them or slow to obtain manually.
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