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Re: Visualizing Linked Data - did we miss anything?

From: Mike Liebhold <mnl@well.com>
Date: Wed, 27 Mar 2013 15:35:45 -0700
Message-ID: <51537441.2060500@well.com>
To: Maria Maleshkova <maria.maleshkova@kit.edu>
CC: Linked Data community <public-lod@w3.org>, euclid-project@sti2.org
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.maleshkova@kit.edu <mailto:maria.maleshkova@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-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
>           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.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 Wednesday, 27 March 2013 22:36:22 UTC

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