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RNTI

MODULAD
Deep Dive on Smart Cities by Scaling Reasoning and Interpreting the Semantics of IoT
In EGC 2017, vol. RNTI-E-33, pp.7-8
Résumé
Modern cities are facing tremendous amount of information, captured from internal in-
frastructures and/or exogenous sensors, humanincluded. This talk presents how big and het-
erogenous city data has been captured, represented, unified to serve one of the most pressing
city objective: improving quality of city, in particular how understanding and reducing traf-
fic congestion. We will also present lessons learnt from the deployment of our system and
experimentation in Dublin (Ireland), Bologna (Italy), Miami (USA) and Rio (Brazil).