Visual exploration of large data sets
Communications of the ACM
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
OntoTrack: A semantic approach for ontology authoring
Web Semantics: Science, Services and Agents on the World Wide Web
URI identity management for semantic web data integration and linkage
OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
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An emerging trend in Web computing aims at collecting and integrating distributed data. For instance, various communities recently have build large repositories of structured and interlinked data sets from different Web sources. However, up to date there is virtually no support in navigating, visualising or even analysing structured date sets of this size appropriately. This paper describes novel rendering techniques enabling a new level of visual analytics combined with interactive exploration principles. The underlying visualisation rationale is driven by the principle of providing detail information with respect to qualitative as well as quantitative aspects on user demand while offering an overview at any time. By means of our prototypical implementation and two real-world data sets we show how to answer several data specific tasks by interactive visual exploration.