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Semantic Annotation Workflow using Bio-Ontologies
| Content Provider | Semantic Scholar |
|---|---|
| Author | Castanier, Emmanuel Jonquet, Clement Melzi, Soumia Larmande, Pierre Ruíz, Manuel Valduriez, Patrick |
| Copyright Year | 2014 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal-lirmm.ccsd.cnrs.fr/lirmm-01052546/file/Poster_CO-PDI_IBC_final.pdf |
| Alternate Webpage(s) | https://hal-lirmm.ccsd.cnrs.fr/lirmm-01052546/document |
| Alternate Webpage(s) | http://www.lirmm.fr/~jonquet/publications/documents/Poster_CO-PDI_IBC_final.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |