Tagging and automation: challenges and opportunities for academic libraries

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 "Semtin...

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Bibliographic Details
Published in:Library hi tech 2009-11, Vol.27 (4), p.557-569
Main Authors: Eckert, Kai, Hänger, Christian, Niemann, Christof
Format: Article
Language:English
Subjects:
Academic libraries
Automation
Classification
Collaboration
Computer software
Content analysis
Discovery tools
Documents
E-books
Economics
Exact sciences and technology
Indexing. Classification. Abstracting
Indexing. Classification. Abstracting. Syntheses
Information and communication sciences
Information and document structure and analysis
Information processing and retrieval
Information science. Documentation
Information technology
Integrated library systems-ILS
Librarians
Licenses
Metadata
Sciences and techniques of general use
Search engines
Software
Studies
Subject indexing
Tagging
Web 2.0
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Description
Summary: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.
ISSN:0737-8831
2054-166X
DOI:10.1108/07378830911007664