Using Ontologies to Access Complex Data: Applications on Bio-Imaging

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 (researchers, engineers, etc.). Our contribution is to propose a methodology to facilitate the exploitation (interrogation and sharing) of complex data in an organization. The system, we propose, tends to mix semantic approach with data management.
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Cong Pham, Nada Matta, Alexandre Durupt, Benoit Eynard, Marianne Allanic, et al.. Using Ontologies to Access Complex Data: Applications on Bio-Imaging. 4th IFIP International Workshop on Artificial Intelligence for Knowledge Management (AI4KM), Jul 2016, New York, NY, United States. pp.19-35, ⟨10.1007/978-3-319-92928-6_2⟩. ⟨hal-01950005⟩

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