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
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
2 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
CRISAM - Inria Sophia Antipolis - Méditerranée , 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.
Type de document :
Communication dans un congrès
MICCAI Workshop on Data- and Compute-Intensive Clinical and Translational Imaging Applications, Oct 2012, Nice, France. pp.41-50, 2012
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-00746765
Contributeur : Johan Montagnat <>
Soumis le : lundi 29 octobre 2012 - 16:03:28
Dernière modification le : mercredi 14 décembre 2016 - 01:07:19
Document(s) archivé(s) le : samedi 17 décembre 2016 - 05:55:26

Fichier

dcictia-miccai12.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00746765, version 1

Collections

UNICE | INRIA | I3S | WIMMICS

Citation

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>

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de
la notice

309

Téléchargements du document

119

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD