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Re: Visualizing Linked Data - did we miss anything?

From: Oscar Corcho <ocorcho@fi.upm.es>
Date: Wed, 27 Mar 2013 23:43:35 +0100
To: Maria Maleshkova <maria.maleshkova@kit.edu>, <public-lod@w3.org>
CC: <euclid-project@sti2.org>
Message-ID: <CD7933F8.6BC28%ocorcho@fi.upm.es>
Hi Maria,

If you are interested in covering map-based visualizations, you may want to
add Map4RDF (http://oegdev.dia.fi.upm.es/map4rdf/)



Oscar Corcho
Ontology Engineering Group (OEG)
Departamento de Inteligencia Artificial
Facultad de Informática
Campus de Montegancedo s/n
Boadilla del Monte-28660 Madrid, España
Tel. (+34) 91 336 66 05
Fax  (+34) 91 352 48 19

De:  Maria Maleshkova <maria.maleshkova@kit.edu>
Fecha:  miércoles, 27 de marzo de 2013 17:49
Para:  <public-lod@w3.org>
Asunto:  Visualizing Linked Data - did we miss anything?
Nuevo envío de:  <public-lod@w3.org>
Fecha de nuevo envío:  Wed, 27 Mar 2013 21:28:39 +0000

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 and on Twitter

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
Twitter: https://twitter.com/euclid_project
Vimeo: https://vimeo.com/euclidproject
Slideshare: https://www.slideshare.net/euclidproject

[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

KIT ­ University of the State of Baden-Württemberg and National
Large-scale Research Center of the Helmholtz Association
Received on Wednesday, 27 March 2013 22:44:12 UTC

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