CubeViz – Exploration and Visualization of Statistical Linked Data. Martin, M.; Abicht, K.; Stadler, C.; Auer, S.; Ngonga Ngomo, A.; and Soru, T. In Proceedings of the 24th International Conference on World Wide Web, WWW 2015, 2015.
abstract   bibtex   
CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.
@InProceedings{martin-www-2015-demo-cubeviz,
  Title                    = {CubeViz -- Exploration and Visualization of Statistical Linked Data},
  Author                   = {Martin, Michael and Abicht, Konrad and Stadler, Claus and Auer, S{\"o}ren and Ngonga Ngomo, Axel-C. and Soru, Tommaso},
  Booktitle                = {Proceedings of the 24th International Conference on World Wide Web, WWW 2015},
  Year                     = {2015},

  Abstract                 = {CubeViz is a flexible exploration and visualization platform for statistical data represented adhering to the RDF Data Cube vocabulary. If statistical data is provided adhering to the Data Cube vocabulary, CubeViz exhibits a faceted browsing widget allowing to interactively filter observations to be visualized in charts. Based on the selected structural part, CubeViz offers suitable chart types and options for configuring the visualization by users. In this demo we present the CubeViz visualization architecture and components, sketch its underlying API and the libraries used to generate the desired output. By employing advanced introspection, analysis and visualization bootstrapping techniques CubeViz hides the schema complexity of the encoded data in order to support a user-friendly exploration experience.},
  Bdsk-url-1               = {http://svn.aksw.org/papers/2015/WWW_Demo_CubeViz/public.pdf},
  Keywords                 = {2015 martin stadler abicht group_aksw sys:relevantFor:geoknow geoknow topic_Exploration sys:relevantFor:infai sys:relevantFor:bis ontowiki cubeviz ES},
  Language                 = {English}
}
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