Dear Maria,

 We did a similar recent scan.  Here's an excellent list of resources:

http://www.mkbergman.com/414/large-scale-rdf-graph-visualization-tools/ ( scroll down for the list of tools.)

We finally settled on Protegé for a portion of our project

http://protegewiki.stanford.edu/wiki/Visualization


Mike Liebhold
Institute for the Future
IFTF


On 3/27/13 2:47 PM, Alvaro Graves wrote:
Dear Maria,

I created a few Open Source tools that may be relevant to the EUCLID project:

- visualRDF (https://github.com/alangrafu/visualRDF) is a tool to visualize and explore RDF graphs - Visualbox (http://visualbox.org) is a tool to create visualizations based on Linked Data via SPARQL queries. - LODSPeaKr (http://lodspeakr.org) is a framework to create Linked Data applications

Let me know if you have any question re. these tools.

Best,
Al

Alvaro Graves-Fuenzalida
Web: http://graves.cl - Twitter: @alvarograves


On Wed, Mar 27, 2013 at 9:49 AM, Maria Maleshkova <maria.maleshk...@kit.edu <mailto:maria.maleshk...@kit.edu>> wrote:

    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-proj...@sti2.org <mailto:euclid-proj...@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
          o Visualisation Techniques
              + Visualizing the Linked Data Cloud
              + Requirement for Visualisation Tools
              + Visualizing Different Data Dimensions
          o 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
          o 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
          o 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
          o Visualisation toolkits
              + Information Workbench Linked Open Data, Graves
          o 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 <tel:%2B49%20721%20608%2045778>
    Email: maria.maleshk...@kit.edu <mailto:maria.maleshk...@kit.edu>

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



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