Towards Semantic Generation of Geolocalized Models of Risk

Abstract

We present the architecture of a tool suite that aims to generate geolocalized conceptual models of risk to be used for the risk assessment of a geographical area, such as a city, a district or a country. This suite consists of three main components: CREAM, a tool for the automatic generation of conceptual models of risks, leveraging semantic and computational creativity techniques; TERMINUS, a domain ontology that gathers knowledge concerning environment, critical infrastructures and related risks; and CIPCast, a GIS-based tool for critical infrastructures protection, enhanced with forecasting and decision support functionalities. Then, we describe the interoperability issues we considered to design this suite of tools. Finally, we discuss usage scenarios for the risk assessment of an urban area.