Capturing the semantic relationship between clinical terms with current MeSH bibliographic coding

This paper compares bibliographic retrieval using current MeSH (Medical Subject Headings) to bibliographic retrieval using explicitly coded semantic relationships between index terms. In a previous study, ten lists of abstracts, each list containing 20–40 papers discussing a specific pair of terms,...

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Bibliographic Details
Published inComputer methods and programs in biomedicine Vol. 27; no. 3; pp. 205 - 211
Main Authors Miller, Perry L., Smith, Paula, Morrow, Jon S., Riely, Caroline A., Powsner, Seth M.
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.11.1988
Subjects
Abstracting and Indexing as Topic - standards
Classification - methods
Computer-assisted bibliographic retrieval
MEDLARS
Reference Standards
Semantic relationships
Semantics
Subject Headings
United States
United States
Semantic relationships
Computer-assisted bibliographic retrieval
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Summary:This paper compares bibliographic retrieval using current MeSH (Medical Subject Headings) to bibliographic retrieval using explicitly coded semantic relationships between index terms. In a previous study, ten lists of abstracts, each list containing 20–40 papers discussing a specific pair of terms, were analyzed to identify the specific relationship(s) between those terms discussed in each paper. In the present study, we analyze how well current MeSH coding, using topical subheadings and check tags, can selectively retrieve those papers discussing each semantic relationship.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0169-2607
1872-7565
DOI:10.1016/0169-2607(88)90084-3