A B C D E F G H I J K L M N O P Q R S T U V W X Y Z all


Gregoire Burel Member status icon

Research Associate
Gregoire Burel Photograph

Telephone Icon +44 (0)1908 858219

Email Icon Website Icon Camera Icon RDF Icon

Twitter Icon

Gr�goire 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.

Gr�goire 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





03 Nov 2017

10 Jul 2017

28 Oct 2016

25 Apr 2016

18 Nov 2015


Publications | Visit External Site for Details Publications | Visit External Site for Details Publications | doi

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

Publications | doi 

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

View By

Research Themes


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team