Smart City

Heads :  et ELIPSE REVA RMESS SAMOVA SEPIA SIG SMAC T2RS The world has experienced tremendous urban growth in recent decades with 70% of the world’s population expected to live in urban areas by 2050 [1]. Cities are responding to the environmental, transportation and infrastructure challenges this presents with plans for becoming more intelligent, interconnected and efficient — with information and communications technologies (ICTs) as a key enabler [2] [3]. Specifically, the literature [4]

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From raw data to intelligible information

> Large scale representation of data and knowledge Integration of heterogeneous information (visual, textual…) > Multifactorial access to data Taking into account simultaneously volume and velocity Taking into account by various factors of relevance (content, user, context) > Generation of understandable information Aggregation/synthesis of information Reasoning on inconsistent and uncertain data Knowledge extraction from data : synergy between symbolic and statistical approaches Various approaches for machine-learning

Publications

Public funding

Common structures