We have built a tool to visualize SPARQL results. It is called DaViz [1]. The 
emphasis was on providing a wizard that can suggest a proper visualization for 
the data structure. It also has the ability to do pivoting by letting the user 
drop on column on another. Demo site: [2]. We also made a prototype SPARQL 
adapter for JasperReports and will most likely pursue that for our Java-based 
websites.

[1] https://github.com/eea/eea.daviz
[2] http://daviz.eionet.europa.eu/
--
Best regards,
Søren Roug
European Environment Agency

________________________________________
Fra: Maria Maleshkova [[email protected]]
Sendt: 27. marts 2013 17:49
Til: [email protected]
Emne: 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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