Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system

BACKGROUND: We develop medical-specialty specific ontologies that contain the settled science and common term usage. We leverage current practices in information and relationship extraction to streamline the ontology development process. Our system combines different text types with information and...

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Detalles Bibliográficos
Autores principales: Doing-Harris, Kristina, Livnat, Yarden, Meystre, Stephane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396714/
https://www.ncbi.nlm.nih.gov/pubmed/25874077
http://dx.doi.org/10.1186/s13326-015-0011-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396714/
https://www.ncbi.nlm.nih.gov/pubmed/25874077
http://dx.doi.org/10.1186/s13326-015-0011-7

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