Tagging and automation: challenges and opportunities for academic libraries

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.

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