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Poster communications

Semantic Annotation Workflow using Bio-Ontologies

Abstract : Biologists have adopted ontologies: *To provide canonical representation of scientific knowledge *To annotate experimental data to enable interpretation, comparison, and discovery across databases *To facilitate knowledge-based applications for decisionsupport, natural language processing, and data integration But off-the-shelf solutions for the biologist to use ontologies are rare (versions, format, availability, license, overlap, etc.) Automatically process complex biological resources text content and generate annotations : * Large-scale - to scale up to many resources and ontologies * Automatic - to keep precision and accuracy * Easy to use and to access - web service approach * Customizable - to fit very specific needs * Smart - to leverage the knowledge contained in ontologies There have been success stories to reproduce: GO annotations, PubMed indexing, etc.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01052546
Contributor : Clement Jonquet <>
Submitted on : Monday, July 28, 2014 - 9:38:22 AM
Last modification on : Wednesday, July 8, 2020 - 5:24:03 PM
Long-term archiving on: : Tuesday, November 25, 2014 - 7:06:18 PM

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Poster_CO-PDI_IBC_final.pdf
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Identifiers

  • HAL Id : lirmm-01052546, version 1
  • PRODINRA : 314150

Citation

Emmanuel Castanier, Clement Jonquet, Soumia Melzi, Pierre Larmande, Manuel Ruiz, et al.. Semantic Annotation Workflow using Bio-Ontologies. Workshop on Crop Ontology and Phenotyping Data Interoperability, Mar 2014, Montpellier, France. 1 p., 2014. ⟨lirmm-01052546⟩

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