Ambiguity resolution while mapping free text to the UMLS Metathesaurus.
We propose a method for resolving ambiguities encountered when mapping free text to the UMLS Metathesaurus. Much of the research in medical informatics involves the manipulation of free text. The Metathesaurus contains extensive information which supports solutions to problems encountered while processing such text. After discussing the process of mapping free text to the Metathesaurus and describing the ambiguities which are often the result of such mapping, we provide examples of rules designed to eliminate mapping ambiguities. These rules refer to the context in which the ambiguity occurs and crucially depend on semantic types obtained from the Metathesaurus. We have conducted a preliminary test of the methodology and the results obtained indicate that the rules successfully resolve ambiguity around 80% of the time.
Rindflesch
T C
TC
National Library of Medicine, Bethesda, MD 20894.
Aronson
A R
AR
D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001330:Electronic Data Processing; D016247:Information Storage and Retrieval; D007256:Information Systems; D009323:Natural Language Processing; D017432:Unified Medical Language System