Tree visualization with tree-maps: 2-d space-filling approach
ACM Transactions on Graphics (TOG)
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
A spreadsheet approach to information visualization
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
The structure of the information visualization design space
INFOVIS '97 Proceedings of the 1997 IEEE Symposium on Information Visualization (InfoVis '97)
A Taxonomy of Visualization Techniques Using the Data State Reference Model
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Exhibit: lightweight structured data publishing
Proceedings of the 16th international conference on World Wide Web
Ontology visualization methods—a survey
ACM Computing Surveys (CSUR)
Rapid prototyping of semantic mash-ups through semantic web pipes
Proceedings of the 18th international conference on World wide web
Fresnel: a browser-independent presentation vocabulary for RDF
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
CropCircles: topology sensitive visualization of OWL class hierarchies
ISWC'06 Proceedings of the 5th international conference on The Semantic Web
From visual data exploration to visual data mining: a survey
IEEE Transactions on Visualization and Computer Graphics
Approaches to visualising linked data: a survey
Semantic Web
Knowledge extraction from structured sources
Search Computing
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Recently, the amount of semantic data available in the Web has increased dramatically. The potential of this vast amount of data is enormous but in most cases it is difficult for users to explore and use this data, especially for those without experience with Semantic Web technologies. Applying information visualization techniques to the Semantic Web helps users to easily explore large amounts of data and interact with them. In this article we devise a formal Linked Data Visualization Model (LDVM), which allows to dynamically connect data with visualizations. We report about our implementation of the LDVM comprising a library of generic visualizations that enable both users and data analysts to get an overview on, visualize and explore the Data Web and perform detailed analyzes on Linked Data.