Re: Visualizing Linked Data - did we miss anything?

Dear all,

In the context of the Workflow4Ever project [1], we are developing some 
visualization tools for Linked Data.
The collaboration spheres [2] intents to provide mechanishm to improve, 
share and reuse of Research Objects [3] and Users Experience based on 
the explotation of semantic descriptions, relations and similarities 
between them in order to support advanced search mechanisms, such as 
metadata-based searches. The visualization of those similarities have a 
very strong social analysis aspect and are based on collaborative 
filtering and personalization (user roles). The visualization methaphor 
proposed aims to be simple and very interpretatability oriented and 
provides an easy way of adapting to different cases. A live demo is 
available here [4].

Best,

Boris

[1] http://www.wf4ever-project.org/
[2] http://www.wf4ever-project.org/wiki/display/docs/Collaboration+Spheres
[3] http://www.wf4ever-project.org/wiki/display/docs/Research+Object+model
[4] 
http://sandbox.wf4ever-project.org/CollaborationSpheresPreview/circles.html?id=http://www.myexperiment.org/users/18 




On 27/03/2013 17:49, Maria Maleshkova 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 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
> 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
>