The success of disaster management efforts demands meaningful integration of data that is
geographically dispersed and owned by stakeholders in various sectors. However, the …

Due to the variety and destructiveness of unconventional emergencies, it is of great
necessity to analyze and optimize emergency management systematically. The performance …

Rainstorm disasters pose a significant threat to the sustainable development of urban areas,
and effectively organizing diverse information sources about them is crucial for emergency …

Ontology as a kind of method for knowledge representation is able to provide semantic
integration for decision support in emergency management activities of meteorological …

In the context of the evacuation of populations, some citizens/volunteers may want and be
able to participate in the evacuation of populations in difficulty by coming to lend a hand to …

Earth observation (EO) systems play a significant role in environmental monitoring and the
prediction of natural disasters. These systems generate a massive amount of heterogeneous …

This chapter is a conceptual writing speaking about various Decision Support Systems
(DSS) available for emergency management and provides a new perspective that is based …

Multi-source observed data are generally characterized by their syntactic, structural and
semantic heterogeneities. A key challenge is the semantic interoperability of these data. In …

Large-scale disasters pose significant response challenges for all governmental
organizations and the general public. Several difficulties usually occur during the response …

Climate change has led to an increase in the frequency and intensity of natural disasters,
necessitating the development of efficient crisis management strategies for population …