How to share complex data and knowledge: Application in Bio-Imaging

Cong Cuong Pham 1 Nada Matta 2 Alexandre Durupt 1 Benoît Eynard 1 Marianne Allanic 3 Guillaume Ducellier 4 Marc Joliot 5 Philippe Boutinaud 3
1 Roberval - Roberval
2 Tech-CICO - TECHnologies pour la Coopération, l’Interaction et les COnnaissances dans les collectifs
ICD - Institut Charles Delaunay, CNRS - Centre National de la Recherche Scientifique : FRE2732
3 Cadesis
4 LASMIS - Laboratoire des Systèmes Mécaniques et d'Ingénierie Simultanée
ICD - Institut Charles Delaunay
5 GIN - UMR 5296 - Groupe d'Imagerie Neurofonctionnelle
Abstract : Information Systems, used to share information, lead to the growth of heterogeneous data and then the dependencies between them. Thus, the links and dependencies among heterogeneous and distributed data are more and more complex during daily activities of users (engineers, researchers, etc.). Ontology is currently used to enhance the knowledge sharing and the data integration in many information systems. Our contribution is to propose a methodology to facilitate the exploitation (interrogation and sharing) of data in an organization using Bio-Imaging ontology.
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Journal articles
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https://hal-utt.archives-ouvertes.fr/hal-02278271
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Wednesday, September 4, 2019 - 11:38:08 AM
Last modification on : Monday, September 23, 2019 - 11:52:08 AM

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Cong Cuong Pham, Nada Matta, Alexandre Durupt, Benoît Eynard, Marianne Allanic, et al.. How to share complex data and knowledge: Application in Bio-Imaging. IFAC-PapersOnLine, Elsevier, 2016, 49 (12), pp.1098-1103. ⟨10.1016/j.ifacol.2016.07.589⟩. ⟨hal-02278271⟩

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