Doctoral Consortium

On the continuous and reactive analysis of a variety of Spatio-Temporal Data

Surf & Sand October 9, 2018 14:00 - 14:15

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Marco Balduini.  

Abstract:  Reactive decision making on heterogeneous streaming data is gaining importance in a wide range of situations, e.g., in the electricity management domain for reacting to anomaly detection or in the oil and gas extraction sites to detect dangerous situations. Modern cities repre- sent a relevant scenario for reactive decision making because of the vast number of stakeholders willing to benefit from the growing availability of streams of data from various sources. In the state-of-the-art, this problem is addressed through ad-hoc solutions that fit only a specific scenario. In this paper, I report on the models and technical implementations, which I propose to enable reactive analysis of a variety of spatio-temporal data, and on their evaluation in real-world scenarios to prove their adequacy

Keywords:  Heterogeneous Spatio-Temporal Streaming Data;  Continuous and Reactive Analysis;  Urban Data;  Streaming Data Fusion;  Stream Processing;  Stream Reasoning