Statistical algorithms for ontology-based annotation of scientific literature

BACKGROUND: Ontologies encode relationships within a domain in robust data structures that can be used to annotate data objects, including scientific papers, in ways that ease tasks such as search and meta-analysis. However, the annotation process requires significant time and effort when performed...

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Detalles Bibliográficos
Autores principales: Chakrabarti, Chayan, Jones, Thomas B, Luger, George F, Xu, Jiawei F, Turner, Matthew D, Laird, Angela R, Turner, Jessica A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108869/
https://www.ncbi.nlm.nih.gov/pubmed/25093071
http://dx.doi.org/10.1186/2041-1480-5-S1-S2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4108869/
https://www.ncbi.nlm.nih.gov/pubmed/25093071
http://dx.doi.org/10.1186/2041-1480-5-S1-S2

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