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Communication Dans Un Congrès Année : 2011

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

Résumé

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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Dates et versions

hal-00683087 , version 1 (27-03-2012)

Identifiants

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

Citer

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. pp.472-80. ⟨hal-00683087⟩
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