Visualizing RDF Data Cubes Using the Linked Data Visualization Model

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10281530" target="_blank" >RIV/00216208:11320/14:10281530 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-319-11955-7_50" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-319-11955-7_50</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-11955-7_50" target="_blank" >10.1007/978-3-319-11955-7_50</a>

Result language
angličtina
Original language name
Visualizing RDF Data Cubes Using the Linked Data Visualization Model
Original language description
Data Cube represents one of the basic means for storing, processing and analyzing statistical data. Recently, the RDF Data Cube Vocabulary became a W3C recommendation and at the same time interesting datasets using it started to appear. Along with them appeared the need for compatible visualization tools. The Linked Data Visualisation Model is a formalism focused on this area and is implemented by Payola, a framework for analysis and visualization of Linked Data. In this paper, we present capabilities of LDVM and Payola to visualize RDF Data Cubes as well as other statistical datasets not yet compatible with the Data Cube Vocabulary. We also compare our approach to CubeViz, which is a visualization tool specialized on RDF Data Cube visualizations.
Czech name
—
Czech description
—

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)