Title
EnTag: enhancing social tagging for discovery
Abstract
The EnTag (Enhanced Tagging for Discovery) project investigated the effect on indexing and retrieval when using only social tagging versus when using social tagging in combination with suggestions from a controlled vocabulary. Two different contexts were explored: tagging by readers of a digital collection and tagging by authors in an institutional repository; also two different controlled vocabularies were examined, Dewey Decimal Classification and ACM Computing Classification Scheme. For each context a separate demonstrator was developed and a user study conducted. The results showed the importance of controlled vocabulary suggestions for both indexing and retrieval: to help produce ideas of tags to use, to make it easier to find focus for the tagging, as well as to ensure consistency and increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both in terms of conceptual relevance to the user and in appropriateness of the terminology. The participants themselves could also see the advantages of controlled vocabulary terms for retrieval if the terms used were from an authoritative source.
Year
DOI
Venue
2009
10.1145/1555400.1555427
JCDL
Keywords
Field
DocType
different context,social tagging,controlled vocabulary,acm computing classification scheme,different controlled vocabulary,controlled vocabulary term,dewey decimal classification,enhanced tagging,controlled vocabulary suggestion,user study,library and information science,social sciences,controlled vocabularies,indexation
World Wide Web,Terminology,Information retrieval,Computer science,Classification scheme,Search engine indexing,Controlled vocabulary,Dewey Decimal Classification,Subject indexing
Conference
ISSN
Citations 
PageRank 
2575-7865
7
0.66
References 
Authors
5
7
Name
Order
Citations
PageRank
Koraljka Golub1849.73
Jim Moon270.66
Douglas Tudhope346647.89
Catherine Jones471.34
Brian Matthews5427.47
BartBomiej PuzoD670.66
Marianne Lykke Nielsen715312.80