Re: Visualizing Linked Data - did we miss anything?

Mike Liebhold Thu, 28 Mar 2013 15:06:58 -0700

Hi Maria,

Yes, we chose Protege to visualize ontologies not large data sets. Weare currently experimenting with D3,js javascript libraries forvisualizing data sets. ( see http://d3js.org/ )

By the way, we did not create the site I mentionend, rather we simplydiscovered the list in our scan of the web for tools for visualizinglinked data.


http://www.mkbergman.com/414/large-scale-rdf-graph-visualization-tools/

Cheers-

Mike





On 3/28/13 5:45 AM, Maria Maleshkova wrote:

Dear Mike,

why did you settle for Protege?  Are you focusing mainly on visualising 
ontologies and not so much data (instances)?

The list is indeed quire extensive. Is it sorted in any way? We are trying to 
distinguish a bit between research-level tools and product-ready tools.

I also find the posts on Large-scale RDF Graph Visualization Tools very useful.

Best,
Maria

On 27 Mar 2013, at 23:35, Mike Liebhold wrote:

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 <[email protected]> 
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), 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], and on 
querying Linked Data [2]. 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] and on Twitter https://twitter.com/euclid_project).

All training materials produced by EUCLID are freely available [3] 
(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, 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
                        • 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
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]

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

Re: Visualizing Linked Data - did we miss anything?

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