Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Towards effective browsing of large scale social annotations
Proceedings of the 16th international conference on World Wide Web
Correlating user profiles from multiple folksonomies
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Multilevel algorithms for partitioning power-law graphs
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Concept modeling by the masses: folksonomy structure and interoperability
ER'06 Proceedings of the 25th international conference on Conceptual Modeling
Emergent semantics from folksonomies: a quantitative study
Journal on Data Semantics VI
Tagging stream data for rich real-time services
Proceedings of the VLDB Endowment
Proceedings of the third ACM international conference on Web search and data mining
I tag, you tag: translating tags for advanced user models
Proceedings of the third ACM international conference on Web search and data mining
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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.