Paper Info
Title
CubeViz: Exploration and Visualization of Statistical Linked Data
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.
Year
DOI
Venue
2015
10.1145/2740908.2742848
WWW (Companion Volume)
Keywords
Field
DocType
Statistics, exploration, linked data, visualization
Data mining,World Wide Web,Data visualization,Information visualization,Computer science,Visualization,Information visualization reference model,Linked data,Vocabulary,Data cube,RDF
Conference
Citations 
PageRank 
References 
7
0.47
1
Authors
6
Name
Order
Citations
PageRank
Michael Martin11358.40
Konrad Abicht270.47
Claus Stadler336326.65
Axel-Cyrille Ngonga Ngomo41775139.40
Tommaso Soru511416.11
Sören Auer65711418.56