Semantic Federation of Distributed Neurodata

Alban Gaignard 1 Johan Montagnat 1 Catherine Faron-Zucker 2 Olivier Corby 2
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
2 INRIA Sophia Antipolis / Laboratoire I3S - WIMMICS
Abstract : Neurodata repositories federation is increasingly needed to implement multi-centric studies. Data federation is difficult due to the heterogeneous nature of distributed data repositories and the technical difficulties faced in addressing simultaneously multiple data sources. This paper describes a data federation system based on a semantic mediation layer and an advanced distributed query engine able to interface to multiple heterogeneous neurodata sources. Both performance and usability indicators are shown, demonstrating the soundness of the approach and its practical feasibility.
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Conference papers
MICCAI Workshop on Data- and Compute-Intensive Clinical and Translational Imaging Applications, Oct 2012, Nice, France. pp.41-50
https://hal.archives-ouvertes.fr/hal-00746765
Contributor : Johan Montagnat <>
Submitted on : Monday, October 29, 2012 - 4:03:28 PM
Last modification on : Monday, October 29, 2012 - 4:33:31 PM

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Alban Gaignard, Johan Montagnat, Catherine Faron-Zucker, Olivier Corby. Semantic Federation of Distributed Neurodata. MICCAI Workshop on Data- and Compute-Intensive Clinical and Translational Imaging Applications, Oct 2012, Nice, France. pp.41-50. <hal-00746765>

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