Class dispersion between the Library of Congress Classification and the Dewey Decimal Classification

Edward T. O'Neill, Martin Dillon and Diane Vizine‐Goetz

Journal of the American Society for Information Science, 1987, vol. 38, issue 3, 197-205

Abstract: Two measures are examined that characterize the dispersion of a classification system when mapped to a second classification. One, a distance measure, captures the physical spread of a class when represented in the second system; the second, from rank‐frequency analysis, characterizes the scatter of tokens over a set of types. The measures are tested by applying them to the library science portions of the Library of Congress Classification and the Dewey Decimal Classification using a database drawn from MARC records. Class mappings are presented that exemplify four extreme points of the two measures considered together: mappings where both measures score high, mappings where both score low, and mappings where one measure is high and the other is low. The conclusion is that the measures characterize two different properties of dispersion. © 1987 John Wiley & Sons, Inc.

Date: 1987
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https://doi.org/10.1002/(SICI)1097-4571(198705)38:33.0.CO;2-2

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Persistent link: https://EconPapers.repec.org/RePEc:bla:jamest:v:38:y:1987:i:3:p:197-205

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