An evaluation of enhancing social tagging with a knowledge organization system

Brian Matthews, Catherine Jones, Bartlomiej Puzon, Jim Moon, Douglas Tudhope, Koraljka Golub, Marianne Lykke Nielsen

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

Purpose – Traditional subject indexing and classification are considered infeasible in many digital collections. This paper seeks to investigate ways of enhancing social tagging via knowledge organization systems, with a view to improving the quality of tags for increased information discovery and retrieval performance.

Design/methodology/approach – Enhanced tagging interfaces were developed for exemplar online repositories, and trials were undertaken with author and reader groups to evaluate the effectiveness of tagging augmented with control vocabulary for subject indexing of papers in online repositories.

Findings – The results showed that using a knowledge organisation system to augment tagging does appear to increase the effectiveness of non-specialist users (that is, without information science training) in subject indexing.

Research limitations/implications – While limited by the size and scope of the trials undertaken, these results do point to the usefulness of a mixed approach in supporting the subject indexing of online resources.

Originality/value – The value of this work is as a guide to future developments in the practical support for resource indexing in online repositories.

Original languageEnglish
Pages (from-to)447-465
Number of pages19
JournalAslib Proceedings
Volume62
Issue number4/5
DOIs
Publication statusPublished - 2010

Fingerprint Dive into the research topics of 'An evaluation of enhancing social tagging with a knowledge organization system'. Together they form a unique fingerprint.

Cite this