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Vocabulary control and information technology

Authors: Derek Austin;

Vocabulary control and information technology

Abstract

Writers on library automation such as Borko and Lancaster foresee an end to human‐based indexing and classification. They anticipate a time when users will be able to direct their subject enquiries at machine‐held files of keywords extracted automatically from the ‘natural uncontrolled language of the document’. Borko considers that this will allow the user ‘to identify a few relevent items from among many thousands and display them on the video screen in seconds’. This paper reviews these claims, and then examines a genuine case where the computer followed the procedures proposed by these teachers. It also considers how a measure of vocabulary control, based on recommendations in some recent national and international standards, would have avoided the entirely irrelevant output produced by the machine.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
7
Average
Top 10%
Average
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