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Re: Visualizing Linked Data - did we miss anything?

From: Maria Maleshkova <maria.maleshkova@kit.edu>
Date: Thu, 28 Mar 2013 13:41:40 +0100
CC: Linked Data community <public-lod@w3.org>
Message-ID: <3CEA8665-F8BA-41F8-B88C-2E102BC9A96B@kit.edu>
To: Alvaro Graves <alvaro@graves.cl>
Dear Alvaro,

thank you for the pointers. I was aware of visualRDF and naturally Graves but Visualbox (unfortunately the links to the demos are not working, for example, http://visualbox.org/demos/cars) and LOSPerKr new.

What I also find really interesting is the LODSPeaKr is focused on the music domain, we are currently doing most of our examples in that domain as well because the data is quite well aligned and there are a lot of dimensions that can be visualised in different ways. This will make it also very easy to include as part of the content that we are preparing. 

Have you discovered any other domains, which are quite complete and easy to visualise (without fixing the data too much)?

Thanks,
Maria

On 27 Mar 2013, at 22:47, Alvaro Graves wrote:

> Dear Maria,
> 
> I created a few Open Source tools that may be relevant to the EUCLID project:
> 
> - visualRDF (https://github.com/alangrafu/visualRDF) is a tool to visualize and explore RDF graphs
> - Visualbox (http://visualbox.org) is a tool to create visualizations based on Linked Data via SPARQL queries.
> - LODSPeaKr (http://lodspeakr.org) is a framework to create Linked Data applications
> 
> Let me know if you have any question re. these tools.
> 
> Best,
> Al
> 
> Alvaro Graves-Fuenzalida
> Web: http://graves.cl - Twitter: @alvarograves
> 
> 
> On Wed, Mar 27, 2013 at 9:49 AM, 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 Thursday, 28 March 2013 12:42:06 UTC

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