A comparison of the two traditions of metadata development
Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
Social Bookmarking in the Enterprise
Queue - Social Computing
Usage patterns of collaborative tagging systems
Journal of Information Science
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Authors vs. readers: a comparative study of document metadata and content in the www
Proceedings of the 2007 ACM symposium on Document engineering
Correlating user profiles from multiple folksonomies
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Social tags: meaning and suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Trend detection in folksonomies
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
Information retrieval in folksonomies: search and ranking
ESWC'06 Proceedings of the 3rd European conference on The Semantic Web: research and applications
What do you call it?: a comparison of library-created and user-created tags
Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries
Journal of the American Society for Information Science and Technology
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In this paper, we examine the degree of difference between two types of metadata for biomedical articles generated by different groups of people. The first type of metadata is social tags, which are assigned to articles by their readers using uncontrolled vocabulary. The second type is index terms, which are assigned by professionally trained indexers and domain experts using a controlled vocabulary. When the two kinds of metadata are assigned to the same item, we may expect that they overlap to a large extent and could substitute for one another. In this study, we compared social tags and index terms for a set of papers that appear both in CiteULike and MEDLINE, and assessed their differences. Due to the idiosyncratic nature of social tags, we preprocessed the tags through normalization, stop-word removal, stemming and spell-checking. Our results show that social tags and Medical Subject Heading (MeSH) index have little overlap and embody largely heterogeneous understanding of items.