Open AccessAuditing the Unified Medical Language System with Semantic Methods
Author(s) -
James J. Cimino
Publication year - 1998
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1136/jamia.1998.0050041
Subject(s) - unified medical language system , computer science , information retrieval , natural language processing , semantic computing , ambiguity , semantic similarity , semantics (computer science) , categorization , artificial intelligence , semantic analysis (machine learning) , semantic compression , semantic matching , metadata , matching (statistics) , semantic technology , semantic web , world wide web , mathematics , statistics , programming language
The National Library of Medicine's (NLM) Unified Medical Language System (UMLS) includes a Metathesaurus (Meta), which is a compilation of medical terms drawn from over 30 controlled vocabularies, and a Semantic Net, which contains the semantic types used to categorize Meta concepts and the semantic relations to connect them. Meta has been constructed through lexical matching techniques and human review. The purpose of this study was to audit the Meta using semantic techniques to identify possible inconsistencies.
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