CE23 - Données, Connaissances, Big data, Contenus multimédias, Intelligence Artificielle

Complex ontological Queries over Federated and heterogenous Data – CQFD

Submission summary

Ontology-mediated query answering (OMQA) is a recent paradigm for data access and data integration that allows to query legacy database systems by exploiting knowledge about the application domain. During the last decade, research on OMQA has essentially target the case where data comes in a relational form (or in the very close RDF format) and the paradigm is deployed on top of relational data-management systems. Yet, data generated by modern society is diverse in many terms and exhibits heterogeneity with respect to the logical models and the underlying data management systems that are actually in use. The goal of the CQFD research project is to investigate the definition and implementation of OMQA beyond the relational setting. Taking this step will give rise to novel techniques to query and analyze federated legacy data-management systems (called polystores) thereby permitting governments, companies, and institutions to gain actionable insights from their Big-Data.

Project coordinator

Monsieur Federico Ulliana (Centre de Recherche Inria Sophia Antipolis - Méditerranée)

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.


LaBRI Laboratoire Bordelais de Recherche en Informatique
INRIA de Paris Centre de Recherche Inria de Paris
Inria Saclay - Ile de France - équipe CEDAR Institut National de Recherche en Informatique et en Automatique
IRISA Institut de Recherche en Informatique et Systèmes Aléatoires
Inria LNE Centre de Recherche Inria Lille - Nord Europe
LTCI - Télécom ParisTech Institut Mines-Télécom
Inria Sophia Antipolis Centre de Recherche Inria Sophia Antipolis - Méditerranée

Help of the ANR 704,675 euros
Beginning and duration of the scientific project: - 48 Months

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