E-Science platforms leverage Service Oriented Architecture (SOA) principles to deliver large catalogs of data processing services and experiments description workflows. In spite of their growing success, the usability of these platforms is hampered by their catalogs size and the domain-specific knowledge needed to manipulate the services...
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October 26, 2011 (v1)Conference paperUploaded on: December 4, 2022
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July 19, 2014 (v1)Journal article
Translational research in Life-Science nowadays leverages e-Science platforms to analyse and produce huge amounts of data. With the unprecedented growth of Life-Science data repositories, identifying relevant data for analysis becomes increasingly difficult. The instrumentation of e-Science platforms with provenance tracking techniques provide...
Uploaded on: March 25, 2023 -
October 2011 (v1)Conference paper
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...
Uploaded on: December 3, 2022 -
December 2014 (v1)Journal article
This paper describes the creation of a comprehensive conceptualization of object models used in medical image simulation, suitable for major imaging modalities and simulators. The goal is to create an application ontology that can be used to annotate the models in a repository integrated in the Virtual Imaging Platform (VIP), to facilitate...
Uploaded on: March 25, 2023 -
January 2013 (v1)Journal article
This paper presents the Virtual Imaging Platform (VIP), a platform accessible at http://vip.creatis.insa-lyon.fr to facilitate the sharing of object models and medical image simulators, and to provide access to distributed computing and storage resources. A complete overview is presented, describing the ontologies designed to share models in a...
Uploaded on: December 3, 2022 -
June 2011 (v1)Conference paper
no abstract
Uploaded on: December 2, 2022 -
June 22, 2011 (v1)Conference paper
no absract.
Uploaded on: December 3, 2022 -
June 28, 2010 (v1)Conference paper
Grid technologies are appealing to deal with the challenges raised by computational neurosciences and support multi-centric brain studies. However, core grids middleware hardly cope with the complex neuroimaging data representation and multi-layer data federation needs. Moreover, legacy neuroscience environments need to be preserved and cannot...
Uploaded on: December 3, 2022