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
[email protected] 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: [email protected] <mailto:[email protected]>
KIT University of the State of Baden-Württemberg and National
Large-scale Research Center of the Helmholtz Association
