- EXPAND: Expanding the Reach of Ontology-Based Data Access: EXpressivity, exPlanation and Algorithms
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ANR project involving the labs LIMOS, CRIStAL, LIRMM, ENS Ulm, INRIA, IRISA, IATE, LaBRI.
Local members: Meghyn Bienvenu (local lead) and Diego Figueira.
2026-2030
- INTENDED: Intelligent handling of imperfect information
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ANR Chair in Artificial Intelligence led by Meghyn Bienvenu, involving Diego Figueira and Gianluca Cima. 2020-2026
- QUID: Efficient Querying for Incomplete and Inconsistent Data
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ANR project involving the labs LIGM, ENS Ulm, and IRIF. Local members: Diego Figueira (local lead) and Joanna Fijalkow. 2019-2023
- CQFD: Requêtes Ontologiques Complexes sur des Fédérations de Données Hétérogènese
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ANR project joint with joint with 7 labs involving involving Meghyn Bienvenu (local lead) and Quentin Manière. 2019-2023
- PING/ACK: Preprocessing Information for Nontrivial Goals / Advanced Compilation of Knowledge
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ANR project joint with CRIL, GREYC, and IRIT, involving Laurent Simon and Rohan Fossé. 2019-2023