Automated Subject Indexing: An Overview

In the face of the ever-increasing document volume, libraries around the globe are more and more exploring (semi-) automated approaches to subject indexing. This helps sustain bibliographic objectives, enrich metadata, and establish more connections across documents from various collections, effecti...

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Bibliographic Details
Published inCataloging & classification quarterly Vol. 59; no. 8; pp. 702 - 719
Main Author Golub, Koraljka
Format Journal Article
LanguageEnglish
Published New York Routledge 2021
Taylor & Francis Ltd
Subjects
automated subject classification
Automated subject indexing
Automation
Biblioteks- och informationsvetenskap
knowledge organization systems (KOS)
Libraries
Library and Information Science
online retrieval
subject analysis
Subject indexing
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Summary:In the face of the ever-increasing document volume, libraries around the globe are more and more exploring (semi-) automated approaches to subject indexing. This helps sustain bibliographic objectives, enrich metadata, and establish more connections across documents from various collections, effectively leading to improved information retrieval and access. However, generally accepted automated approaches that are functional in operative systems are lacking. This article aims to provide an overview of basic principles used for automated subject indexing, major approaches in relation to their possible application in actual library systems, existing working examples, as well as related challenges calling for further research.
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ISSN:0163-9374
1544-4554
1544-4554
DOI:10.1080/01639374.2021.2012311