Similarity cross-analysis of tag / co-tag spaces in social classification systems

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Similarity cross-analysis of tag / co-tag spaces in social classification systems

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Conference on Information and Knowledge Management archive
Proceeding of the 2008 ACM workshop on Search in social media table of contents

Napa Valley, California, USA

SESSION: Tagging I table of contents

Pages 11-18

Year of Publication: 2008

ISBN:978-1-60558-258-0

Authors

Steffen Oldenburg	University of Rostock, Rostock, Germany
Martin Garbe	University of Rostock, Rostock, Germany
Clemens Cap	University of Rostock, Rostock, Germany

Sponsors

ACM: Association for Computing Machinery
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

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ABSTRACT

Recent growth of social classification systems due to steadily increasing popularity has established a multitude of heterogeneous isolated, non-integrated, and non-interoperable tag spaces. Contrary to current research predominantly focusing on single folksonomies, we exploit cross-space similarities to improve a variety of tagging use cases beyond the limits of one folksonomy. This paper presents the results of practical studies concerning cross-space analysis of (co-)tag spaces of five well-established social classification services for tagging of bookmarks (del.icio.us, BibSonomy bookmarks), and publications (BibSonomy publications, CiteULike, Connotea). The studies are based on one month data sets of RSS recent feeds from the same time scope. We provide a profound motivation for cross-space tagging, and give insight into similarities and intersections of (top ranking) (co-)tag spaces as well as convergence aspects over time.

REFERENCES

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