Paper Info
Title
An evaluation of enhancing social tagging with a knowledge organization system
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.
Year
DOI
Venue
2010
10.1108/00012531011074690
ASLIB PROCEEDINGS
Keywords
Field
DocType
Social groups,Tagging,Knowledge management,Controlled languages
Social group,Information retrieval,Computer science,Information science,Digital collections,Subject indexing,Vocabulary,Knowledge organization,Information discovery,Knowledge organization system
Journal
Volume
Issue
ISSN
62
4-5
0001-253X
Citations 
PageRank 
References 
2
0.39
3
Authors
7
Name
Order
Citations
PageRank
Brian Matthews1427.47
c s jones220.39
bartlomiej puzon320.39
james moon420.39
Douglas Tudhope546647.89
Koraljka Golub6849.73
Marianne Lykke Nielsen715312.80