From raw data to intelligible information

> Large scale representation of data and knowledge

  • Integration of heterogeneous information (visual, textual…)

> Multifactorial access to data

  • Taking into account simultaneously volume and velocity
  • Taking into account by various factors of relevance (content, user, context)

> Generation of understandable information

  • Aggregation/synthesis of information
  • Reasoning on inconsistent and uncertain data
  • Knowledge extraction from data : synergy between symbolic and statistical approaches
  • Various approaches for machine-learning