Abstract
Social tagging systems have shown an impressive potential for information discovery and exploration. Enriched with Semantic Web technologies, they enable to tap valuable metadata about Web resources and to detect hidden relations, thus, to capture information about both content and context of the resources. In this article, we propose a novel way to combine semantic technologies with Web 2.0 paradigms. We introduce the GroupMe! system, which extends current social tagging systems by giving users more flexibility in organizing and maintaining Web content. In GroupMe!, users can create groups of Web resources they consider relevant by simple drag & drop operations. They can tag and share their groups and Web content with fellow users and benefit from improved search and retrieval capabilities. We evaluate the GroupMe! approach and investigate on the effect of grou** resources for search in tag-based social systems. Our experiments show that the quality of search result ranking can be significantly improved by introducing and exploiting the grou** of resources.
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Instead we select, e.g., \({w}_{c}({t}_{g},r) \approx max(\vert \{u \in U : (u,t,r,g) \in \breve{ Y }\}\vert )\) as we believe that grou** a resource is in general more valuable than tagging it.
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Acknowledgements
We thank Nicole Ullmann, Mischa Frank, Daniel Plappert, Patrick Siehndel, and Zhivko Asenov for their contribution and engagement in realizing the GroupMe! system.
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Abel, F., Henze, N., Krause, D., Kriesell, M. (2010). Semantic Enhancement of Social Tagging Systems. In: Devedžić, V., Gaševic, D. (eds) Web 2.0 & Semantic Web. Annals of Information Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1219-0_2
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