indexing, classification, tagging, information retrieval, visualization technique, DDC: 020 (Library and information sciences)
Abstract
Purpose: comparing and examining the quality of the results of tagging, intellectual and automated indexing processes.
Design/methodology/approach: 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.
Research limitations/implications: exploratory study on the base of three journals.
Originality/value: the paper presents the open source software Semtinel offering a highly optimized toolbox for analysing thesauri and classifications.
