Toolglass and magic lenses: the see-through interface
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Cascading style sheets: designing for the Web
Cascading style sheets: designing for the Web
IEEE MultiMedia
The Grammar of Graphics (Statistics and Computing)
The Grammar of Graphics (Statistics and Computing)
YALE: rapid prototyping for complex data mining tasks
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Human-Computer Interaction (3rd Edition)
Human-Computer Interaction (3rd Edition)
Processing: A Programming Handbook for Visual Designers and Artists
Processing: A Programming Handbook for Visual Designers and Artists
ManyEyes: a Site for Visualization at Internet Scale
IEEE Transactions on Visualization and Computer Graphics
Protovis: A Graphical Toolkit for Visualization
IEEE Transactions on Visualization and Computer Graphics
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
SemLens: visual analysis of semantic data with scatter plots and semantic lenses
Proceedings of the 7th International Conference on Semantic Systems
IEEE Transactions on Visualization and Computer Graphics
Interactive relationship discovery via the semantic web
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
Introducing RDF Graph Summary with Application to Assisted SPARQL Formulation
DEXA '12 Proceedings of the 2012 23rd International Workshop on Database and Expert Systems Applications
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A common task with any relatively large amount of data is to create visual representations that help users to make sense of such data and observe trends that otherwise would be hard for them to appreciate. The creation of these visualizations usually requires some knowledge in a programming language, making it difficult for non-technical savvy users to create visualizations. In this paper we present Visualbox, a system that makes it easier for non-programmers to create web visualizations based on Linked Data. These visualizations can be accessed by any modern web browser and can be easily embedded in web pages and blogs. We describe how people can create visualizations using Visualbox and we show examples of work done by real users. Finally we present a study that shows that Visualbox makes it easier for users to create Linked Data-based visualizations.