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Conference Poster Year : 2014

Semantic Annotation Workflow using Bio-Ontologies

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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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Dates and versions

lirmm-01052546 , version 1 (28-07-2014)

Identifiers

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

Cite

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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