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