CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes
Autor(en):
Zusammenfassung
In this paper we present CubeViz.js, the successor of CubeViz, as an approach for lightweight visualization and exploration of statistical data using the RDF Data Cube vocabulary. In several use cases, such as the European Unions Open Data Portal, in which we deployed CubeViz, we were able to gather various requirements that eventually led to the decision of reimplementing CubeViz as JavaScript-only application. As part of this paper we showcase major functionalities of CubeViz.js and its improvements in comparison to the prior version.
- Vollständige Referenz
- BibTeX
Abicht, K., Alkhouri, G., Arndt, N., Meissner, R. & Martin, M.,
(2017).
CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes.
In:
Eibl, M. & Gaedke, M.
(Hrsg.),
INFORMATIK 2017.
Gesellschaft für Informatik, Bonn.
(S. 1915-1921).
DOI: 10.18420/in2017_191
@inproceedings{mci/Abicht2017,
author = {Abicht, Konrad AND Alkhouri, Georges AND Arndt, Natanael AND Meissner, Roy AND Martin, Michael},
title = {CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 1915-1921 } ,
doi = { 10.18420/in2017_191 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Abicht, Konrad AND Alkhouri, Georges AND Arndt, Natanael AND Meissner, Roy AND Martin, Michael},
title = {CubeViz.js: A Lightweight Framework for Discovering and Visualizing RDF Data Cubes},
booktitle = {INFORMATIK 2017},
year = {2017},
editor = {Eibl, Maximilian AND Gaedke, Martin} ,
pages = { 1915-1921 } ,
doi = { 10.18420/in2017_191 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
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Mehr Information
DOI: 10.18420/in2017_191
ISBN: 978-3-88579-669-5
ISSN: 1617-5468
Datum: 2017
Sprache:
(en)
(en)Keywords
Sammlungen
- P275 - INFORMATIK 2017 [266]

