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
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
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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Communication dans un congrès
MICCAI Workshop on Data- and Compute-Intensive Clinical and Translational Imaging Applications, Oct 2012, Nice, France. pp.41-50, 2012
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Dernière modification le : lundi 5 novembre 2018 - 15:52:09
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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, 2012. 〈hal-00746765〉

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