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Finding subject terms for classificatory metadata from user-generated social tags

Syn, SY and Spring, MB (2013) Finding subject terms for classificatory metadata from user-generated social tags. Journal of the American Society for Information Science and Technology, 64 (5). 964 - 980. ISSN 1532-2882

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Abstract

With the increasing popularity of social tagging systems, the potential for using social tags as a source of metadata is being explored. Social tagging systems can simplify the involvement of a large number of users and improve the metadata-generation process. Current research is exploring social tagging systems as a mechanism to allow nonprofessional catalogers to participate in metadata generation. Because social tags are not from controlled vocabularies, there are issues that have to be addressed in finding quality terms to represent the content of a resource. This research explores ways to obtain a set of tags representing the resource from the tags provided by users. Two metrics are introduced. Annotation Dominance (AD) is a measure of the extent to which a tag term is agreed to by users. Cross Resources Annotation Discrimination (CRAD) is a measure of a tag's potential to classify a collection. It is designed to remove tags that are used too broadly or narrowly. Using the proposed measurements, the research selects important tags (meta-terms) and removes meaningless ones (tag noise) from the tags provided by users. To evaluate the proposed approach to find classificatory metadata candidates, we rely on expert users' relevance judgments comparing suggested tag terms and expert metadata terms. The results suggest that processing of user tags using the two measurements successfully identifies the terms that represent the topic categories of web resource content. The suggested tag terms can be further examined in various usages as semantic metadata for the resources. © 2013 ASIS & T.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Syn, SY
Spring, MBspring@pitt.eduSPRING
Date: 1 May 2013
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Journal of the American Society for Information Science and Technology
Volume: 64
Number: 5
Page Range: 964 - 980
DOI or Unique Handle: 10.1002/asi.22804
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
ISSN: 1532-2882
Date Deposited: 17 Jun 2013 15:35
Last Modified: 12 Oct 2017 09:56
URI: http://d-scholarship.pitt.edu/id/eprint/18983

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