Re: Visualizing Linked Data - did we miss anything?

Dear all,

Regarding visualization of Linked Data, we (CTIC Foundation) are
developing a couple of components (HTML5 front-end widgets) that you
may want to include in the survey.

Understats [1] (Understanding Statistics): facilitates end-users an
interactive exploration of statistical and multidimensional data. It
generates responsive charts from the inspection of the dimensions and
measures comprising a statistical indicator represented with the RDF
Data Cube vocabulary. Find a demo in [2]

Undermaps [3] (Understanding Maps): produce web-map visualizations of
geographic and cartographic information. Find a demo at [4].
Undermaps is sensitive to geospatial data expressed in the following
semantic ways:
- features are RDF resources linked to their geometries (a KML file)
through the NeoGeo Vocabulary (in case of points, W3C Basic Geo
Vocabulary is used).
- types of features should be represented as SKOS concepts
- map styles, comprising the legend, are related to the SKOS hierarchy
(using a property). A style can be a SVG-designed symbol or a Google
Maps JSON.

Best regards,

Carlos Tejo

[1] http://idi.fundacionctic.org/tabels#charts
[2] http://idi.fundacionctic.org/tabels/tapinos?endpoint=http://idi.fundacionctic.org/tabels/project/MouseStatsQB/sparql/&id=MouseStatsQB
[3] http://idi.fundacionctic.org/tabels#maps
[4] http://idi.fundacionctic.org/tabels/map?endpoint=http://idi.fundacionctic.org/tabels/project/safetyRegions/sparql/&id=safetyRegions


Carlos Tejo Alonso
CTIC-Centro Tecnológico
Parque Científico y Tecnológico de Gijón
c/ Ada Byron, 39 Edificio Centros Tecnológicos
33203 Gijón - Asturias - Spain
Tel.: +34 984 29 12 12
Fax: +34 984 39 06 12
E-mail: carlos.tejo@fundacionctic.org
http://www.fundacionctic.org
Privacy Policy: http://www.fundacionctic.org/privacidad


On 27 March 2013 17:49, Maria Maleshkova <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), 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 euclid-project@sti2.org 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: 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, 3 April 2013 14:18:17 UTC