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Visualizing Linked Data - did we miss anything?

From: Maria Maleshkova <maria.maleshkova@kit.edu>
Date: Wed, 27 Mar 2013 17:49:37 +0100
Message-ID: <DEDAE22E-87F6-4A68-8856-A000696884AD@kit.edu>
To: <public-lod@w3.org>
Dear all,

we are trying to compile a survey of topics and tools for visualizing Linked Data. This is part of the contributions of the European project EUCLID (http://www.euclid-project.eu), which aims to provide an educational curriculum for Linked Data practitioners. So far we have created training materials on introducing the Linked Data principles and application scenarios [1], and on querying Linked Data [2]. Currently we are working on covering visualization. If you are a developer or a user of methods or tools, which are relevant and we have missed, please let us know (direct reply to the email or euclid-project@sti2.org and on Twitter https://twitter.com/euclid_project).

All training materials produced by EUCLID are freely available [3] (Attribution) and can be reused for trainings and educational activities. 

 Linked Data Visualization
Visualisation Techniques
Visualizing the Linked Data Cloud
Requirement for Visualisation Tools
Visualizing Different Data Dimensions
Existing Linked Data Visualisations
Simple bar and pie charts, histograms, line and scatterplots
Node-link tree and graph visualisations, in both 2D and 3D
Matrices, parallel co-ordinates
Timeline and topology plots, map and landscape views
Space-filling visualisations such as tree maps, rose diagrams, icicle, bubble and sunburst plots
Iconography, including star and glyph plots
Linked Data Browsers
sig.ma, sindice, OpenLink RDF Browser, Marbles, Disco - Disco Hyperdata Browser, Piggy Bank, part of SIMILE, Zitgist DataViewer, iLOD, URI Burner
Browsers with Visualisation Options
Tabulator, IsaViz, OpenLink Data Explorer, RDF Gravity, RelFinder, DBpedia Mobile, LESS http://less.aksw.org
Further: SIMILE Exhibit, Haystack, FoaF Explorer, Humboldt, LENA, Noadster, mSpace, Revyv, RKBExplorer, Semanlink
Visualisation toolkits
Information Workbench Linked Open Data, Graves
SPARQL Visualisation

Thank you for your feedback!

Visit out website for further resources: http://www.euclid-project.eu
Twitter: https://twitter.com/euclid_project  
Vimeo: https://vimeo.com/euclidproject
Slideshare: https://www.slideshare.net/euclidproject
LinkedIn: http://www.linkedin.com/groups/Education-Training-on-Semantic-Technologies-4917016

[1] http://www.euclid-project.eu/modules/chapter1
[2] http://www.slideshare.net/EUCLIDproject/querying-linked-data, https://vimeo.com/61618438, https://vimeo.com/61618437
[3] Attribution 3.0 Unprotected http://creativecommons.org/licenses/by/3.0/

Maria Maleshkova
Senior Researcher
Karlsruhe Institute of Technology (KIT)
Phone: +49 721 608 45778
Email: maria.maleshkova@kit.edu

KIT ­ University of the State of Baden-Württemberg and National
Large-scale Research Center of the Helmholtz Association

Received on Wednesday, 27 March 2013 21:28:35 UTC

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