More specifically, its objective is to enrich the knowledge base with events, causalities, precedence, stories, negations and beliefs. It aims to extract this type of information at scale from structured and unstructured sources and to allow the machine to reason on this information, i.e. to apply logical arguments to arrive at a reasoned conclusion. To this end, its bearers wish to bring together research on knowledge representation, reasoning and information extraction.

The NoRDF Project is a chair selected and financially supported by the French National Research Agency (ANR) and by the Defence Innovation Agency (AID) as part of the National Program for AI. The project has a total budget of 1.3 million euros for a four-year period. It also draws on the experience, use cases and financial support of four industrial partners: Converteo, EDF, Groupe BPCE and Schlumberger.

It is supported academically by its holder, Professor Fabian Suchanek, and by its co-responsible, Professor Chloé Clavel, both professor-researchers at Télécom Paris, Institut Polytechnique de Paris.