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An association‐based method for automatic indexing with a controlled vocabulary

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  • Christian Plaunt
  • Barbara A. Norgard

Abstract

In this article, we describe and test a two‐stage algorithm based on a lexical collocation technique which maps from the lexical clues contained in a document representation into a controlled vocabulary list of subject headings. Using a collection of 4,626 INSPEC documents, we create a “dictionary” of associations between the lexical items contained in the titles, authors, and abstracts, and controlled vocabulary subject headings assigned to those records by human indexers using a likelihood ratio statistic as the measure of association. In the deployment stage, we use the dictionary to predict which of the controlled vocabulary subject headings best describe new documents when they are presented to the system. Our evaluation of this algorithm, in which we compare the automatically assigned subject headings to the subject headings assigned to the test documents by human catalogers, shows that we can obtain results comparable to, and consistent with, human cataloging. In effect, we have cast this as a classic partial match information retrieval problem. We consider the problem to be one of “retrieving” (or assigning) the most probably “relevant” (or correct) controlled vocabulary subject headings to a document based on the clues contained in that document. © 1998 John Wiley & Sons, Inc.

Suggested Citation

  • Christian Plaunt & Barbara A. Norgard, 1998. "An association‐based method for automatic indexing with a controlled vocabulary," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(10), pages 888-902.
  • Handle: RePEc:bla:jamest:v:49:y:1998:i:10:p:888-902
    DOI: 10.1002/(SICI)1097-4571(199808)49:103.0.CO;2-Z
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    Cited by:

    1. Robert J. Kauffman & Salvatore T. March & Charles A. Wood, 2000. "Design principles for long‐lived Internet agents," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 9(4), pages 217-236, December.
    2. Peter Mutschke & Philipp Mayr & Philipp Schaer & York Sure, 2011. "Science models as value-added services for scholarly information systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 349-364, October.

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