Gregoire BurelResearch Associate
Grégoire Burel is a research associate at the Knowledge Media Institute (KMi). His work involves the development and application of machine learning techniques and social semantics for the investigation of user behaviour in different settings (e.g. answering behaviour, energy consumption habits and emerging behaviour in emergency crisis), the development of visualisation tools and platforms (e.g. energyuse.eu, Sparks Prism) and ontological models (e.g. DoRES, EUse,Veracity, Curio).
He is curently involved in the EU founded COMRADES project where he is investigating the application of Deep Learning methods for identifying crisis-related content in social media. Previousely, he developed the energyuse.eu platform for the DecarboNet EU project and studied answering behaviour in Question Answering (Q&A) communities for the ROBUST EU project.
Grégoire has recently obtained his PhD in predicting best answer in Q&A communities and has previousely worked as a research assistant at the University of Sheffield on the EU funded WeKnowIt project where he worked on development of an Emergency Response platform."
Keys: Social Semantic Web, Machine Learning, Economics, User Value, Natural Language Processing, Online Communities
10 Jul 2017
28 Oct 2016
25 Apr 2016
18 Nov 2015
Piccolo, L., De Liddo, A., Burel, G., Fernandez, M. and Alani, H. (2017) Collective intelligence for promoting changes in behaviour: a case study on energy conservation, AI & SOCIETY, pp. 1-11
Burel, G., Piccolo, L. and Alani, H. (2016) EnergyUse - A Collective Semantic Platform for Monitoring and Discussing Energy Consumption, 15th International Semantic Web Conference - ISWC, Kobe, Japan, pp. 257-272