Re: Visualizing Linked Data - did we miss anything?

Dear Maria, you may look at these two applications for interaction with linked data:

- Aemoo (http://aemoo.org) is a browser of Wikipedia links that uses patterns and types for serendipitous exploratory search and integrates them on the fly with tweets and news.
- Semantic Scout (http://bit.ly/semanticscout) provides multiple visualizations for linked data expert finding and exploratory search (the example is on Italian National Research Council data)

Nice work from EUCLID :)
Aldo

On Mar 27, 2013, at 5:49:37 PM , 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
>