• Data compression
  • Data management system
  • Visualization
  • Network analysis
  • Data mining

We are interested in the definition of a complete pipeline for the exploitation of mega-data. Firstly, heterogeneous data of interest must be structured and integrated using efficient modelling and knowledge engineering methods. The querying of this data remains sensitive and requires the implementation of efficient querying systems when one knows what one is looking for, but also the design of data mining techniques to bring out the underlying knowledge. The results of queries also remain massive. In order to make them intelligible to the expert in the field, we propose visual exploration methods that go to scale.