A Novel WebGIS-Based Situational Awareness Platform for Trustworthy Big Data Integration and Analytics in Mobility Context

Abstract

The availability of big amounts of dynamic data from several sources in mobility context and their real time integration can deliver a picture for emergency management in urban and extra-urban areas. A WebGIS portal is able to support the perception of all elements in current situation. However, in general, during the observation decision maker's attention capacity is not sufficient to address concerns due to information overload. A situational picture is necessary to go beyond the simple perception of the elements in the environment, supporting the overall comprehension of the current situation and providing predictions and decision support. In this paper we present MAGNIFIER, a WebGISbased intelligent system for emergency management, to entirely support the real-time situational awareness. Starting from the current situation and by using the practical reasoning model by Bratman, MAGNIFIER is able to suggest the appropriate course of actions to be executed to meet decision maker's goals.