Gregoire Burel

Research Associate

I am a research associate at the Knowledge Media Institute (KMi). My 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, emerging behaviour in emergency crisis and misinformation tracking), the development of visualisation tools and platforms (e.g. energyuse.eu, fcobservatory.org) and ontological models (e.g. DoRES, EUse,Veracity, Curio).

I am currently involved in the EU founded Co-Inform and HeROS projects where he is investigating if fact-checking has an impact on the spread of online misinformation.

Keywords

Social Semantic Web, Machine Learning, Misinformation, User Value, Natural Language Processing, Online Communities


Publications

Khare, Prashant , Burel, Gregoire and Alani, Harith(2019). Relevancy Identification Across Languages and Crisis Types. IEEE Intelligent Systems, 34(3) pp. 19–28.

Burel, Gregoire and Alani, Harith(2018). Crisis Event Extraction Service (CREES) - Automatic Detection and Classification of Crisis-related Content on Social Media. In: 15th International Conference on Information Systems for Crisis Response and Management, 20-23 May 2018, Rochester, NY, USA.

Khare, Prashant , Burel, Gregoire and Alani, Harith(2018). Classifying Crises-Information Relevancy with Semantics. In: ESWC 2018: Proceedings of the 15th International Conference, Lecture Notes in Computer Science, Springer, pp. 367–383.