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Re: Visualizing Linked Data - did we miss anything?

From: Maria Maleshkova <maria.maleshkova@kit.edu>
Date: Fri, 29 Mar 2013 10:57:13 +0100
CC: Linked Data community <public-lod@w3.org>
Message-ID: <BAAC43EB-7A86-4768-8A47-4B39FE1008FB@kit.edu>
To: Kingsley Idehen <kidehen@openlinksw.com>, Bernadette Hyland <bhyland@3roundstones.com>
Dear all,

visualisation is obviously a very hot topic currently and there are a lot of tools and implementations, which provide different level of support. Some simply do a graph visualisation based on the links, other provide multiple visualisation forms to choose from.

What I will try to do while preparing the chapter and the catalog is to identify the different visualisation needs that each of the tools address (simple browsing, exploring hierarchies, identifying relationships) . Furthermore, it is obvious that particular types of data are better visualised in a certain way (geo-spacial data --> maps). 

Naturally, the collection of tools should be available in an annotated way.

As Barry mentioned, in creating the different chapters, we are trying to pick only the corresponding supporting technologies and tools. 

Maria


On 28 Mar 2013, at 20:16, Kingsley Idehen wrote:

> On 3/28/13 3:05 PM, Bernadette Hyland wrote:
>> Hi Maria,
>> Happy to see you're compiling a survey of topics & tools.  May I suggest adding a category called "Linked Data Frameworks" (a peer to Linked Data Browsers).  
>> 
>> For example, in the Linked Data Frameworks category it may include: Callimachus Open Source, OpenLink Software's Virtuoso Open-Source Edition and TopBraid Composer, and others. Note, I don't think these products are direct competitors, rather a class of enterprise products that build on Linked Data.  I'll leave it to the respective companies to describe their products.  
>> 
>> I'm involved with the Callimachus Open Source Project.  Callimachus allows Web developers to build applications on Linked Data from your Web browser. [1]   The Callimachus Project is being used for Linked Data projects within federal government, healthcare, pharma, publishing and research.[2]   Visualizations supported by Callimachus include Google Chart Tools, D3.js visualizations, JQuery plug-ins such as DataTables and others.
>> 
>> Thanks for your consideration of adding a possible new category & this OS project.  We look forward to seeing the final survey if you publish it to the list!
> 
> Yes, re the above!
> 
> Links relating to our products:
> 
> 1. http://virtuoso.openlinksw.com -- RDF DBMS and Linked Data Deployment platform (amongst many others things) 
> 2. http://ode.openlinksw.com -- Browser extensions, Bookmarklets, and URL patterns for Linked Data generation from a plethora of RDF and non RDF data sources
> 3. http://linkeddata.uriburner.com -- a Linked Data generation and transformation service (ODE is loosely coupled to this instance, but you can also point ODE to other services). 
> 
> Maria:
> 
> Wondering if you would consider making a turtle document for your compilation? 
> 
> Kinglsey 
>> 
>> Cheers,
>> Bernadette Hyland
>> 
>> [1] http://callimachusproject.org
>> [2] http://callimachusproject.org/docs/1.0/callimachus-for-web-developers.docbook?view#Who_is_using_Callimachus
>> 
>> PS.  A new book called "Linked Data: Structured data on the Web".  It is intended to help educate Web developers & practitioners on the use of Linked Data, including visualizations. Authors include: D. Wood, M. Zaidman, L. Ruth and M. Hausenblas.  It will be available in soft back in June 2013. The first chapter if free & gives a good overview.  See http://www.manning.com/dwood/
>> 
>> On Mar 27, 2013, at 12:49 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
>>> 
>> 
> 
> 
> -- 
> 
> Regards,
> 
> Kingsley Idehen	      
> Founder & CEO 
> OpenLink Software     
> Company Web: http://www.openlinksw.com
> Personal Weblog: http://www.openlinksw.com/blog/~kidehen
> Twitter/Identi.ca handle: @kidehen
> Google+ Profile: https://plus.google.com/112399767740508618350/about
> LinkedIn Profile: http://www.linkedin.com/in/kidehen
> 
> 
> 
> 
Received on Friday, 29 March 2013 09:57:41 UTC

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