Digital data, whether structured, semistructured, or unstructured (text) increasingly captures all aspects of the modern society. Individuals and organizations create, exchange, enrich and comment on the data.

SourcesSay is an AI Chair funded by Agence Nationale de la Recherche and Direction Générale de l’Armement, in   2020-2024. The project goal is to interconnect data sources of any nature within digital arenas. In an arena, a dataset is stored, analyzed, enriched and connected, graph mining, machine learning, and visualization techniques, to build powerful data analysis tools.

The project is mostly developed within the   CEDAR project-team of Inria Saclay and  Ecole Polytechnique; the PI is Ioana Manolescu. All project members can be found here.

The main applications we target are related to data journalism; SourcesSay benefits from the input and interest of its partners  Le Monde  et  WeDoData.

SourcesSay builds on ideas and research previously carried in the projects:  ConnectionLens,  ANR ContentCheck (2015-2020), and WebClaimExplain, an Inria-AIST Japan associated team (2017-2019).