%0 Conference Paper %1 martin-www-2015-demo-cubeviz %A Martin, Michael %A Abicht, Konrad %A Stadler, Claus %A Auer, Sören %A Ngonga Ngomo, Axel-C. %A Soru, Tommaso %B Proceedings of the 24th International Conference on World Wide Web, WWW 2015 %D 2015 %K 2015 ES abicht cubeviz geoknow group\_aksw martin ontowiki stadler topic\_Exploration %T CubeViz -- Exploration and Visualization of Statistical Linked Data %X 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, 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.}, added-at = {2023-04-25T16:34:44.000+0200}, author = {Martin, Michael and Abicht, Konrad and Stadler, Claus and Auer, S{\"o}ren and {Ngonga Ngomo}, Axel-C. and Soru, Tommaso}, bdsk-url-1 = {http://svn.aksw.org/papers/2015/WWW\_Demo\_CubeViz/public.pdf}, biburl = {https://www.bibsonomy.org/bibtex/22771f6e9ee6213ffc182a8ceb40049af/dice-research}, booktitle = {Proceedings of the 24th International Conference on World Wide Web, WWW 2015}, interhash = {d98eca63101e18bf66f121fb5af680dc}, intrahash = {2771f6e9ee6213ffc182a8ceb40049af}, keywords = {2015 ES abicht cubeviz geoknow group\_aksw martin ontowiki stadler topic\_Exploration}, language = {English}, timestamp = {2023-04-25T16:34:44.000+0200}, title = {CubeViz -- Exploration and Visualization of Statistical Linked Data}, year = 2015 }