A paper about the predictive reasoning component of SIMPLI-CITY has been awarded as the best In-Use Paper at the European Semantic Web Conference on 29th of May 2014.

The paper “Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies”, which has been presented by Freddy Lecue from SIMPLI-CITY partner IBM at the ESWC 2014 in Crete, Greece, has been awarded as the best In-Use Paper.

Abstract of the award-winning paper:

F. Lecue, R. Tucker, V. Bicer, P. Tommasi, S. Tallevi-Diotallevi, M. Sbodio, "Predicting Severity of Road Traffic Congestion using Semantic Web Technologies", in The Semantic Web: Trends and Challenges - 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014

Predictive reasoning, or the problem of estimating future observations given some historical information, is an important inference task for obtaining insight on cities and supporting efficient urban planning. This paper, focusing on transportation, presents how severity of road traffic congestion can be predicted using semanticWeb technologies. In particular we present a system which integrates numerous sensors (exposing heterogeneous, exogenous and raw data streams such as weather information, road works, city events or incidents) to improve accuracy and consistency of traffic congestion prediction. Our prototype of semantics-aware prediction, being used and experimented currently by traffic controllers in Dublin City Ireland, works efficiently with real, live and heterogeneous stream data. The experiments have shown accurate and consistent prediction of road traffic conditions, main benefits of the semantic encoding.

The submitted paper can be found at


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