Abstract: This presentation outlines STAR-CITY, a system supporting semantic traffic analytics and reasoning for city. STAR-CITY, which integrates (human and machine-based) sensor data using variety of formats, velocities and volumes, has been designed to provide insight on historical and real-time traffic conditions, all supporting efficient urban planning. Our system demonstrates how the severity of road traffic congestion can be smoothly analyzed, diagnosed, explored and predicted using semantic web technologies. Our prototype of semantics-aware traffic analytics and reasoning, experimented in Bologna (Italy), Dublin (Ireland), Miami (USA) and Rio (Brazil) works and scales efficiently with real, historical together with live and heterogeneous stream data.
Bio: Dr Freddy Lecue is a research scientist and lead investigator in large-scale reasoning systems at the Smarter Cities Technology Centre (SCTC) at IBM's Dublin Research Laboratory in Ireland. His expertise is in Artificial Intelligence, Knowledge Representation and Reasoning, Service Computing.
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