Dear Maria,

I would add http://www.cubist-project.eu/
SWP http://topquadrant.com/swp/swp-in-topbraid.html
Fresnel http://www.w3.org/2005/04/fresnel-info/
These articles as well propose a method supported by an ontology for 
semi-automatic visualization of SPARQL resultsets:
Marcello Leida, Du 
Xiaofeng<http://www.informatik.uni-trier.de/~ley/pers/hd/x/Xiaofeng:Du.html>, 
Paul 
Taylor<http://www.informatik.uni-trier.de/~ley/pers/hd/t/Taylor:Paul.html>, 
Basim 
Majeed<http://www.informatik.uni-trier.de/~ley/pers/hd/m/Majeed:Basim.html>: 
Toward Automatic Generation of SPARQL Result Set Visualizations - A Use Case in 
Service Monitoring. ICE-B 
2011<http://www.informatik.uni-trier.de/~ley/db/conf/icete/ice-b2011.html#LeidaXTM11>:
 181-186
Marcello Leida, Ali 
Afzal<http://www.informatik.uni-trier.de/~ley/pers/hd/a/Afzal:Ali.html>, Basim 
Majeed<http://www.informatik.uni-trier.de/~ley/pers/hd/m/Majeed:Basim.html>: 
Outlines for Dynamic Visualization of Semantic Web Data. OTM Workshops 
2010<http://www.informatik.uni-trier.de/~ley/db/conf/otm/otm2010-w.html#LeidaAM10>:
 170-179

Regards.
From: Maria Maleshkova [mailto:[email protected]]
Sent: Wednesday, March 27, 2013 8:50 PM
To: [email protected]
Subject: Visualizing Linked Data - did we miss anything?

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<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<http://www.euclid-project.eu/modules/chapter1>], and 
on querying Linked Data 
[2<http://www.slideshare.net/EUCLIDproject/querying-linked-data>]. 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 
[email protected]<mailto:[email protected]> and on Twitter 
https://twitter.com/euclid_project).

All training materials produced by EUCLID are freely available 
[3<http://creativecommons.org/licenses/by/3.0/>] (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
§  Text-based
§  Linked Data Browsers
§  sig.ma<http://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<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<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: [email protected]<mailto:[email protected]>

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

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