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Towards efficient data integration and knowledge management in the Agronomic domain

Abstract : Today, the revolution in empirical technologies has generated vast amounts of data. This data deluge has created an urgent need to assimilate it with a panoramic view. To this end, information systems play a central role in managing and integrating these data, aiding the biologists in exploiting this integrated information for the extraction of new knowledge. The plant bioinformatics node of the Institut Français de Bioinformatique (IFB) maintains public information systems where a variety of domain specific data are integrated. Currently, efforts are being taken to expose the IFB plant bioinformatics resources as RDF, utilising domain specific ontologies and metadata. Here, we present the overview and the progress of the project.
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Submitted on : Friday, July 17, 2015 - 11:52:09 AM
Last modification on : Monday, October 11, 2021 - 1:23:59 PM
Long-term archiving on: : Wednesday, April 26, 2017 - 6:11:25 AM

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  • HAL Id : hal-01176903, version 1
  • PRODINRA : 312298

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Aravind Venkatesan, Nordine El Hassouni, Florian Phillipe, Cyril Pommier, Hadi Quesneville, et al.. Towards efficient data integration and knowledge management in the Agronomic domain. APIA: Applications Pratiques de l'Intelligence Artificielle, Institut National de Recherche en Informatique et en Automatique (INRIA). FRA., Jul 2015, Rennes, France. pp.117-124. ⟨hal-01176903⟩

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