Re: Visualizing Linked Data - did we miss anything?

Thanks, Alvaro.

In fact EUCLID uses the music domain throughout and there are several 
MusicBrainz/Beatles examples in Chapter 2, as can be seen here (that's 
me karate-chopping the air):
https://vimeo.com/61618438
and in the slides here:
http://www.slideshare.net/EUCLIDproject/querying-linked-data

We're working on re-mapping MusicBrainz to RDF, using R2RML, with more 
coverage of the Advanced Relationships than has been attempted so far 
(which is the basis of EUCLID-sponsored tutorials at the forth-coming 
London SemWeb meetup then at ESWC and SemTechBiz in San Francisco). In 
case this is useful to you for further examples, please do let us know.

Barry





On 28/03/13 16:42, Alvaro Graves wrote:
> Thanks for pointing that out. My hosting had some problems yesterday, 
> I checked and all the demos are working now.
>
> Re. LODSPeaKr, it is not focused on the music domain, it happens that 
> sometimes I like to use examples from music. In a different domain, 
> http://healthdata.tw.rpi.edu is a portal for health data based on 
> LODSPeaKr. We recently won the first prize in the HealthData Metadata 
> Challenge with it. http://logd.tw.rpi.edu (focused on government data) 
> also uses LODSPeaKr and you can check more demos and applications at 
> http://alangrafu.github.com/lodspeakr/applications.html
>
> Re. the domains used, I'd suggest finding something that is appealing 
> to the community you try to reach. When I present examples for general 
> audiences I try to use well-known examples, like in 
> http://lodspeakr.org/beatles. Last time I presented LODSPeaKr it was 
> to a group of people related to climate and earth science, so I create 
> a demo related to climate change.
>
> Hope it helps
>
> Alvaro Graves-Fuenzalida
> Web: http://graves.cl - Twitter: @alvarograves
>
>
> On Thu, Mar 28, 2013 at 5:41 AM, Maria Maleshkova 
> <maria.maleshkova@kit.edu <mailto:maria.maleshkova@kit.edu>> wrote:
>
>     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 <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 <http://graves.cl/> - Twitter: @alvarograves
>>
>>
>>     On Wed, Mar 27, 2013 at 9:49 AM, Maria Maleshkova
>>     <maria.maleshkova@kit.edu <mailto: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
>>         <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
>>         <mailto: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 <tel:%2B49%20721%20608%2045778>
>>         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
>>
>>
>
>

Received on Thursday, 28 March 2013 16:58:54 UTC