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Tagging and automation: challenges and opportunities for academic libraries

Kai Eckert (Computer Science Institute, University of Mannheim, Mannheim, Germany)
Christian Hänger (Department of Digital Services, University of Mannheim Library, Mannheim, Germany)
Christof Niemann (Department of Digital Services, University of Mannheim Library, Mannheim, Germany)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 20 November 2009

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Abstract

Purpose

The purpose of this paper is to compare and examine the quality of the results of tagging, and intellectual and automated indexing processes.

Design/methodology/approach

The approach takes the form of analysis and graphical representation of annotation sets using the software “Semtinel”.

Findings

A combination of tagging, intellectual and automatic indexing is probably best suited to shape the annotation of literature more efficiently without compromising quality.

Originality/value

The paper presents the open source software Semtinel, offering a highly optimized toolbox for analysing thesauri and classifications.

Keywords

Citation

Eckert, K., Hänger, C. and Niemann, C. (2009), "Tagging and automation: challenges and opportunities for academic libraries", Library Hi Tech, Vol. 27 No. 4, pp. 557-569. https://doi.org/10.1108/07378830911007664

Publisher

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Emerald Group Publishing Limited

Copyright © 2009, Emerald Group Publishing Limited

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