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A platform for scientific data sharing

Karima Rafes 1, 2, 3 Cécile Germain 4, 2 
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : In this paper, we use the semantic web technology, notably RDF, SPARQL and Linked Open Data in the context of scientific data sharing. More precisely, we present the LinkedWiki platform that is being developed at the Center for Data Science of Paris-Saclay University for scientific data integration. The goal is to facilitate the discovery and exploitation of scientists' datasets by their colleagues. For this, we notably rely on the use by scientists of Wikipedia for specifying the semantics of datasets, and the use of Wikidata (the Wikipedia's knowledge base) identifiers for annotating these datasets and thereby facilitating their discovery.
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Submitted on : Friday, June 26, 2015 - 12:00:52 AM
Last modification on : Saturday, June 25, 2022 - 10:16:44 PM
Long-term archiving on: : Friday, October 9, 2015 - 6:05:34 PM


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  • HAL Id : hal-01168496, version 1


Karima Rafes, Cécile Germain. A platform for scientific data sharing. BDA2015 - Bases de Données Avancées, Sep 2015, Île de Porquerolles, France. ⟨hal-01168496⟩



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