A knowledge-based framework for emergency DSS

Emergency management requires a shared vision on everything that happens nearby the emergency zone and on the availability of resources enabling to face emergency situations. Specifically, emergency managers need to be concretely supported, by knowledge-based systems, to make critical decisions. This work introduces a framework that exploits Semantic Web technologies to harmonize heterogeneous data and soft computing methods in order to handle uncertainties and to model causal inference embedded into an emergency plan. In particular, the paper presents an approach based on Fuzzy Cognitive Maps (FCMs) to support knowledge processing and resources discovery according to the emergency features.

► We present an application of Fuzzy Cognitive Map to support emergency decision making. ► We adopt semantic technologies to model geo-localized services, resources and skills. ► System performs resources discovery process according to the emergency features. ► We examine a case study in the emergency management area. ► The system enables Emergency Manager to select skills and resources available.