Linked Life Data

15802483

Source:http://linkedlifedata.com/resource/pubmed/id/15802483

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2005-7-11
pubmed:abstractText
The integration of SNOMED CT into the Unified Medical Language System (UMLS) involved the alignment of two views of synonymy that were different because the two vocabulary systems have different intended purposes and editing principles. The UMLS is organized according to one view of synonymy, but its structure also represents all the individual views of synonymy present in its source vocabularies. Despite progress in knowledge-based automation of development and maintenance of vocabularies, manual curation is still the main method of determining synonymy. The aim of this study was to investigate the quality of human judgment of synonymy.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1067-5027
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
486-94
pubmed:dateRevised
2011-8-1
pubmed:meshHeading
pubmed:articleTitle
Integrating SNOMED CT into the UMLS: an exploration of different views of synonymy and quality of editing.
pubmed:affiliation
National Library of Medicine, 8600 Rockville Pike, Bethesda, MD 20894, USA. kwfung@nlm.nih.gov
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, N.I.H., Extramural