Document Detail

Medical knowledge evolution query constraining aspects.
MedLine Citation:
PMID:  21893809     Owner:  NLM     Status:  In-Data-Review    
In this paper we present a first analysis towards better understanding of the query constraining aspects of knowledge, as expressed in the most used public medical bibliographic database MEDLINE. Our results indicate, possibly not surprising, that new terms occur, but also that traditional terms are replaced by more specific ones or even go out of use as they become common knowledge. Hence, as knowledge evolve over time, search methods may benefit from becoming more sensitive to knowledge expression, to enable finding new, as well as older, relevant database contents.
Ann-Marie Eklund
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Studies in health technology and informatics     Volume:  169     ISSN:  0926-9630     ISO Abbreviation:  Stud Health Technol Inform     Publication Date:  2011  
Date Detail:
Created Date:  2011-09-06     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9214582     Medline TA:  Stud Health Technol Inform     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  549-53     Citation Subset:  T    
Centre for Language Technology, Department of Swedish Language, University of Gothenburg, Sweden.
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