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M-CREAM (eMergency-CREAtivity Machine) is a new tool devoted to support creative design of emergency management scenarios. By creative design of scenarios we mean the process of imagining situations and describing them through models and stories. M-CREAM supports the tasks of gathering and organizing knowledge about emergency management situations by automatically generating conceptual models, related to fragments of emergency scenarios. It leverages semantics-based techniques to enable a computational creativity approach. The software application was defined to support the activities of modeling scenarios by permitting to generate, organize, and query sets of these conceptual models, which we name mini-stories, and that can be adopted to inspire the activity of creative design. Selected mini-stories are blueprints for more detailed user scenario descriptions and models that can be used, for instance, for analysis or simulation.
M-CREAM was developed by ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development) (IT) and Università degli Studi di Brescia (IT).
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Some of the experiments on real case studies we did in order to validate the M-CREAM approach
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This work would not have been possible without several people and organizations ...
REFERENCES
De Nicola A., Melchiori M., Villani M.L. (2018) Creative design of emergency management scenarios driven by semantics: an application to smart cities. Information Systems, Volume 81, March 2019, Pages 21-48, ISSN 0306-4379, https://doi.org/10.1016/j.is.2018.10.005.
De Nicola A., Melchiori M., Villani M.L. (2018) M-CREAM: A Tool for Creative Modelling of Emergency Scenarios in Smart Cities. In: Gangemi A. et al. (eds) The Semantic Web: ESWC 2018 Satellite Events. ESWC 2018. Lecture Notes in Computer Science, vol 11155. Springer, Cham. Poster.
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.
De Nicola A., Melchiori M., Villani M.L. (2014) A Semantics-Based Approach to Generation of Emergency Management Scenario Models. In: Mertins K., Bénaben F., Poler R., Bourrières JP. (eds) Enterprise Interoperability VI. Proceedings of the I-ESA Conferences, vol 7. Springer, Cham.
G. D'Agostino, A. De Nicola, A. Di Pietro, G. Vicoli, M. L. Villani, V. Rosato (2012) A Domain Specific Language for the Description and the Simulation of Systems of Interacting Systems. Advances in Complex Systems Vol. 15, No. supp01.
De Nicola A., Tofani A., Vicoli G., Villani M.L. (2012) An MDA-based Approach to Crisis and Emergency Management Modeling. International Journal on Advances in Intelligent Systems 5 (1 & 2), 89-100.
De Nicola A., Tofani A., Vicoli G., Villani M.L. (2011) Modeling collaboration for crisis and emergency management. In Proc. of the The First International Conference on Advanced Collaborative Networks, Systems and Applications (COLLA 2011).
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