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Social Semantic Web at Work: Annotating and Grouping Social Media Content

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Web Information Systems and Technologies (WEBIST 2008)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 18))

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Abstract

Common social tagging systems like Flickr, Delicious and others lately became very popular. The key benefits of these systems include that users can easily annotate Web content and benefit from the annotations of other users with improved retrieval support. With GroupMe! we extend the idea of current social tagging systems by enabling users to not only tag Web resources they are interested in, but also to create collections (groups) of these Web resources by simple drag & drop operations. The grouping metaphor is intuitive and easy for the users, and our evaluation shows that users appreciate the grouping facility, and use this feature to organize and structure diverse Web content. Technically, the grouping of resources carries valuable information about Web resources and their relations. GroupMe! exploits such information to improve search and retrieval. The RESTful Semantic Web interface of GroupMe! enables also other applications to benefit from the GroupMe! features and makes GroupMe! a Social Semantic Web application.

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Abel, F., Henze, N., Krause, D. (2009). Social Semantic Web at Work: Annotating and Grouping Social Media Content. In: Cordeiro, J., Hammoudi, S., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST 2008. Lecture Notes in Business Information Processing, vol 18. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01344-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-01344-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01343-0

  • Online ISBN: 978-3-642-01344-7

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