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