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CubeViz: Exploration and Visualization of Statistical Linked Data

Published:18 May 2015Publication History

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.

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  1. CubeViz: Exploration and Visualization of Statistical Linked Data

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    • Published in

      cover image ACM Other conferences
      WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
      May 2015
      1602 pages
      ISBN:9781450334730
      DOI:10.1145/2740908

      Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2)

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 May 2015

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      Overall Acceptance Rate1,899of8,196submissions,23%

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