NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.

Bernard Gibaud 1 Gilles Kassel 2 Michel Dojat 3 Bénédicte Batrancourt 4 Franck Michel 5 Alban Gaignard 5 Johan Montagnat 5, *
* Auteur correspondant
1 VisAGeS - Vision, Action et Gestion d'informations en Santé
INSERM - Institut National de la Santé et de la Recherche Médicale : U746, Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
5 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : This paper describes the design of the NeuroLOG middleware data management layer, which provides a platform to share heterogeneous and distributed neuroimaging data using a federated approach. The semantics of shared information is captured through a multi-layer application ontology and a derived Federated Schema used to align the heterogeneous database schemata from different legacy repositories. The system also provides a facility to translate the relational data into a semantic representation that can be queried using a semantic search engine thus enabling the exploitation of knowledge embedded in the ontology. This work shows the relevance of the distributed approach for neurosciences data management. Although more complex than a centralized approach, it is also more realistic when considering the federation of large data sets, and open strong perspectives to implement multi-centric neurosciences studies.
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Communication dans un congrès
American Medical Informatics Association, Oct 2011, Washington DC, United States. 2011, pp.472-80, 2011
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Dernière modification le : mercredi 2 août 2017 - 10:10:13
Document(s) archivé(s) le : jeudi 28 juin 2012 - 02:31:47

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  • HAL Id : hal-00683087, version 1
  • PUBMED : 22195101

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Bernard Gibaud, Gilles Kassel, Michel Dojat, Bénédicte Batrancourt, Franck Michel, et al.. NeuroLOG: sharing neuroimaging data using an ontology-based federated approach.. American Medical Informatics Association, Oct 2011, Washington DC, United States. 2011, pp.472-80, 2011. 〈hal-00683087〉

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