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LHNCBC: Document Abstract
Year: 2006Adobe Acrobat Reader
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LHNCBC-2006-021
Using Dependence Relations in MeSH as a Framework for the Analysis of Disease Information in Medline
Vizenor L, Bodenreider O
Proceddings of the Second International Symposium on Semantic Mining in Biomedicine (SMBM-2006) 2006:76-83
Motivation: Many terminologies such as MeSH have a hierarchical structure, but no trans-ontological relations. Such relations, however, are useful for characterizing the relations identified in data sets. Methods: We identified trans-ontological relations in MeSH (between diseases and other categories) based on formal ontological principles and compared them to co-occurrence data in MEDLINE. Results: Dependence relations identified between a disease and other categories generally correspond to the highest proportion of relations between this disease and any other category under investigation. The other relations observed between this disease and other categories correspond mostly to contingent relations.
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