The DIG team’s research activity is focused on the computational aspects of data science, machine learning and artificial intelligence. In general terms, the team’s research aims at making knowledge easy to extract, especially from textual sources, in order to store, process, query, and be understood by machines.
The scientific field of the DIG team covers:
- Database theory
- Graph mining
- Machine learning
- Natural language processing
- Knowledge bases
- Machine reasoning
- Collective intelligence
Team members
- Thomas Bonald, Professor, team leader
- Talel Abdessalem, Professor
- Mehwish Alam, Associate Professor
- Albert Bifet, Professor
- Jean-Louis Dessalles, Professor Emeritus
- Nils Holzenberger, Associate Professor
- Louis Jachiet, Associate Professor
- Marc Jeanmougin, Research Engineer
- Van Tam Nguyen, Professor
- Nikola Simidjievski, Associate Professor
- Fabian M. Suchanek, Professor
Key words
- Database
- Knowledge
- Logics
- Language
- Intelligence
- Graphs
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