Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature

Deep learning meets ontologies: experiments to anchor the cardiovascular disease ontology in the biomedical literature

Abstract Background Automatic identification of term variants or acceptable alternative free-text terms for gene and protein names from the millions of biomedical publications is a challenging task. Ontologies, such as the Cardiovascular Disease Ontology (CVDO), capture domain knowledge in a computa...

Full description

Bibliographic Details
Main Authors: Mercedes Arguello Casteleiro, George Demetriou, Warren Read, Maria Jesus Fernandez Prieto, Nava Maroto, Diego Maseda Fernandez, Goran Nenadic, Julie Klein, John Keane, Robert Stevens
Format: Article
Language:English
Published: BMC 2018-04-01
Series:Journal of Biomedical Semantics
Subjects:
Semantic deep learning
Ontology
Deep learning
CBOW
Skip-gram
Cardiovascular disease ontology
Online Access:http://link.springer.com/article/10.1186/s13326-018-0181-1

Internet

http://link.springer.com/article/10.1186/s13326-018-0181-1

Similar Items