Adaptive, Intelligent Data Analysis & Querying - AIDAQ

2026 - 2028
TRI – Tremplin pour la Recherche Internationale Université d'Orléans
Internationale
État : Accepté
Responsables : Mirian HALFELD-FERRARI (Porteur) Sébastien LIMET (Participant) Patrick MARCEL (Participant) Marcilio PEREIRA DE SOUTO (Participant) Thi-bich-hanh DIEP-DAO (Participant) Jacques CHABIN (Participant) Anaïs LEFEUVRE-HALFTERMEYER (Participant) Sophie ROBERT (Participant) Christel VRAIN (Participant)

AIDAQ develops unified querying and analysis across heterogeneous data models (relational, graph, and document) by extending query languages with predictive and analytical features and automating the structuring of unstructured data.

The project bridges computer science research and its applications in biology and health, promoting long-term collaborative ties between France and Brazil.