W3C home > Mailing lists > Public > public-lod@w3.org > March 2013

SV: Visualizing Linked Data - did we miss anything?

From: Søren Roug <Soren.Roug@eea.europa.eu>
Date: Fri, 29 Mar 2013 11:18:17 +0100
To: Maria Maleshkova <maria.maleshkova@kit.edu>, "public-lod@w3.org" <public-lod@w3.org>
Message-ID: <ECDBB484CB145E429AAB0661F935E4E303A8653490B2@SLOTHMAIL.eea.eu.int>

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 [maria.maleshkova@kit.edu]
Sendt: 27. marts 2013 17:49
Til: public-lod@w3.org
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 euclid-project@sti2.org<mailto:euclid-project@sti2.org> 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: maria.maleshkova@kit.edu<mailto:maria.maleshkova@kit.edu>

KIT ­ University of the State of Baden-Württemberg and National
Large-scale Research Center of the Helmholtz Association
Received on Friday, 29 March 2013 10:18:47 UTC

This archive was generated by hypermail 2.4.0 : Thursday, 24 March 2022 20:30:04 UTC