Abstract. Grouping is an attractive interaction metaphor for users to create reference collections of Web resources they are interested in. Each grouping activity has a certain semantics: things which were previously unrelated are now connected with others via the group. We present the GroupMe! application which allows users to group and arrange multimedia Web resources they are interested in. GroupMe! has an easy-to-use interface for gathering and grouping of resources, and allows users to tag everything they like. The semantics of any user interaction is captured, transformed and stored as adequate RDF descriptions. As an example application of this automatically derived RDF content, we show the enhancement of search for tagged Web resources, which evaluates the grouping information to deduce additional contextual information about the resources. GroupMe! is available via http://www.groupme.org.

The GroupMe! system provides a novel approach to social bookmarking. It enables users to create groups of arbitrary multimedia web resources and visualizes resources according to their media type. Therewith, content of a resource can be grasped immediately. Hence, GroupMe! groups form web sites -- comparable to Wikipedia pages -- that users visit in order to gather information about corresponding topics. Technically, the grouping of resources carries valuable information about web resources and their relations, and can be exploited to improve the mining of web content, e.g. for search and retrieval. GroupMe! is available via http://groupme.org.