Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase Project.

Christian Barillot 1 Habib Benali 2 Michel Dojat 3 Alban Gaignard 1 Bernard Gibaud 1, * Serge Kinkingnéhun 2 Jean-Pierre Matsumoto 4 Mélanie Pélégrini-Issac 2 Eric Simon 4 Lynda Temal 1
* Corresponding author
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
Abstract : The NeuroBase project aims at studying the requirements for federating, through the Internet, information sources in neuroimaging. These sources are distributed in different experimental sites, hospitals or research centers in cognitive neurosciences, and contain heterogeneous data and image processing programs. More precisely, this project consists in creating of a shared ontology, suitable for supporting various neuroimaging applications, and a computer architecture for accessing and sharing relevant distributed information. We briefly describe the semantic model and report in more details the architecture we chose, based on a media-tor/wrapper approach. To give a flavor of the future deployment of our architecture, we de-scribe a demonstrator that implements the comparison of distributed image processing tools applied to distributed neuroimaging data.
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Journal articles
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https://www.hal.inserm.fr/inserm-00141685
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Submitted on : Monday, May 28, 2007 - 3:52:50 PM
Last modification on : Friday, May 3, 2019 - 1:41:58 AM
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  • HAL Id : inserm-00141685, version 1
  • PUBMED : 16823118

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Christian Barillot, Habib Benali, Michel Dojat, Alban Gaignard, Bernard Gibaud, et al.. Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase Project.. Studies in Health Technology and Informatics, IOS Press, 2006, 120, pp.3-13. ⟨inserm-00141685⟩

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