Semantic Annotation Workflow using Bio-Ontologies - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Poster Year : 2014

Semantic Annotation Workflow using Bio-Ontologies


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.
Fichier principal
Vignette du fichier
Poster_CO-PDI_IBC_final.pdf (492.06 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

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


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


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⟩
563 View
476 Download


Gmail Facebook X LinkedIn More