Visualization of Semantic Metadata and Ontologies
IV '03 Proceedings of the Seventh International Conference on Information Visualization
prefuse: a toolkit for interactive information visualization
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualization of Heterogeneous Data
IEEE Transactions on Visualization and Computer Graphics
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
IEEE Transactions on Visualization and Computer Graphics
Vispedia: on-demand data integration for interactive visualization and exploration
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Rapid Graphs with Tableau Software: Create Intuitive, Actionable Insights in Just 15 Days - Volume 2
Rapid Graphs with Tableau Software: Create Intuitive, Actionable Insights in Just 15 Days - Volume 2
A semantic web middleware for virtual data integration on the web
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Getting Started with Processing
Getting Started with Processing
The Art of R Programming: A Tour of Statistical Software Design
The Art of R Programming: A Tour of Statistical Software Design
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We present the Visual Data Explorer (ViDaX), a tool for visualising and exploring large RDF data sets. ViDaX enables the extraction of information from RDF data sources and offers functionality for the analysis of various data characteristics as well as the exploration of the corresponding ontology graph structure. In addition to some basic data mining features, our interactive semantic data visualisation and exploration tool offers various types of visualisations based on the type of data. In contrast to existing semantic data visualisation solutions, ViDaX also offers non-expert users the possibility to explore semantic data based on powerful automatic visualisation and interaction techniques without the need for any low-level programming. To illustrate some of ViDaX's functionality, we present a use case based on semantic data retrieved from DBpedia, a semantic version of the well-known Wikipedia online encyclopedia, which forms a major component of the emerging linked data initiative.