Listening to the pulse of our cities with Stream Reasoning (and few more technologies)

The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. However, we risk that data piles up without easing decision making. The key note presents how stream reasoning (an approach to tame simultaneously the variety and velocity dimensions of Big Data) and advance visual analytics can support decision makers and discusses the lesson learnt.

Politecnico di Milano

Emanuele Della Valle

Emanuele Della Valle holds a PhD in Computer Science from the Vrije Universiteit Amsterdam and a Master degree in Computer Science and Engineering from Politecnico di Milano. He is assistant professor at the Department of Electronics, Information and Bioengineering of the Politecnico di Milano. In more than 15 years of research, his research interests covered Big Data, Stream Processing, Semantic technologies, Data Science, Web Information Retrieval, and Service Oriented Architectures. He started the stream reasoning research field to investigate how to tame simultaneously the velocity (analysing data streams to enable real-time decisions) and variety (integrating heterogeneous data) dimensions of Big Data. In 2015, he started up a company (Fluxedo) to commercialize the open source results of Stream Reasoning research.