Abstract
Manual definition of models for emergency management scenarios is a demanding activity due to the huge number of different situations to be considered. It requires knowledge related to the crisis and emergency domains, to the context (e.g., a specific city and its current regulations) and to modelling techniques. In this paper, we propose to tackle this problem according to a lateral thinking perspective and, following this line, we present a framework supporting automatic creation of conceptual models concerning emergency management scenarios by means of semantic techniques. In particular, this framework relies on an ontology and on a set of semantic rules to manage, respectively, the domain and contextual knowledge, and on the design patterns approach to support the modelling activity. A software experimentation of the framework based on SPARQL and applied to emergency scenarios in smart cities is proposed to demonstrate the viability of the approach.
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De Nicola, A., Melchiori, M., Villani, M.L. (2014). A Lateral Thinking Framework for Semantic Modelling of Emergencies in Smart Cities. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8645. Springer, Cham. https://doi.org/10.1007/978-3-319-10085-2_31
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DOI: https://doi.org/10.1007/978-3-319-10085-2_31
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