CQFD - Complex ontological Queries over Federated and heterogenous Data       

CQFD is a 5 years research project (2019-2023) funded by the French National Research Agency (ANR).

Project Coordinator

Federico ULLIANA, Montpellier University, LIRMM, INRIA Sophia Antipolis


Ontology-mediated query answering (OMQA) is a novel paradigm for data access and integration that makes it easier to query legacy databases by exploiting domain knowledge provided by ontologies. In the OMQA approach, ontologies enable a unified view of information over a collection of datasets, by enriching, generalizing, and relating the vocabularies of different data sources. Ontologies also allow one to query incomplete databases, by relying on inference mechanisms including the creation of new values to represent unknown information. The OMQA paradigm is relevant to a wide range of data-intensive applications and its interest has been demonstrated in some recent industrial projects. The goal of the CQFD project is to develop an OMQA framework applicable on heterogeneous data models and deployable over federated polystore systems.


Inria Sophia Antipolis - GraphIK Team
Jean-François Baget (researcher, INRIA Sophia Antipolis, LIRMM)
Michel Leclère (associate professor, INRIA Sophia Antipolis, Montpellier University, LIRMM)
Marie-Laure Mugnier (professor, INRIA Sophia Antipolis, Montpellier University, LIRMM)
Olivier Rodriguez (PhD student, INRIA Sophia Antipolis, LIRMM)
Federico Ulliana (associate professor, INRIA Sophia Antipolis, Montpellier University, LIRMM)

LaBRI - Formal Methods Team
Meghyn Bienvenu (researcher, CNRS, LaBRI)
Quentin Manière (PhD student, LaBRI)

Inria Paris - Valda Team
Michael Thomazo (researcher, INRIA Paris, DI ENS)
Camille Bourgaux (researcher, CNRS, INRIA Paris, DI ENS)

LIG - Slide Team
Fabrice Jouanot (associate professor, Université Grenoble Alpes, LIG)
Marie-Christine Rousset (professor, Université Grenoble Alpes, LIG, IUF)

Inria Saclay - Cedar Team
Ioana Manolescu (researcher, INRIA Saclay, LIX)

IRISA - Shaman Team
François Goasdoué (professor, Université de Rennes, IRISA)

Inria Lille Nord Europe
Pierre Bourhis (researcher, CNRS, CRIStAL, INRIA Lille Nord Europe)
Sophie Tison (professor, Lille University, CRIStAL, INRIA Lille Nord Europe)

Antoine Amarilli (associate professor, Télécom Paris, LTCI)
Louis Jachiet (associate professor, Télécom Paris, LTCI)

Associated Publications

Maxime Buron, François Goasdoué, Ioana Manolescu, Marie-Laure Mugnier
Ontology-Based RDF Integration of Heterogeneous Data. EDBT 2020 (pdf-hal)

Meghyn Bienvenu, Pierre Bourhis
Mixed-World Reasoning with Existential Rules under Active-Domain Semantics. IJCAI 2019 (doi)

Pierre Bourhis, Michel Leclère, Marie-Laure Mugnier, Sophie Tison, Federico Ulliana, Lily Gallois
Oblivious and Semi-Oblivious Boundedness for Existential Rules. IJCAI 2019 (doi)

Olivier Rodriguez, Reza Akbarinia, Federico Ulliana
Querying Key-Value Stores Under Single-Key Constraints: Rewriting and Parallelization. RuleML+RR 2019 (doi)

Maxime Buron, François Goasdoué, Ioana Manolescu, Marie-Laure Mugnier
Reformulation-Based Query Answering for RDF Graphs with RDFS Ontologies. ESWC 2019 (pdf-hal)


Rana Al-Otaibi, Maxime Buron, Alin Deutsch, François Goasdoué, Pawel Guzewicz, Ioana Manolescu Gestion de données hétérogènes revisitée : Des médiateurs aux polystores modernes. Tutorial at BDA summer school “Masses de données distribuées”, 2020