- From: Alfredo Serafini <seralf@gmail.com>
- Date: Fri, 29 Mar 2013 00:47:08 +0100
- To: Mike Liebhold <mnl@well.com>
- Cc: Maria Maleshkova <maria.maleshkova@kit.edu>, Linked Data community <public-lod@w3.org>
- Message-ID: <CADawF4M2nxgdxFg=C0d6zJWQOGqyN8j_1AnNc=zVgAXcLBFXyA@mail.gmail.com>
Hi i totally agree on the use of D3.js. What about Linked Data Api adoption? I am currentlly experimenting it in my spare time for provide a visualizer over Elda (i've started some months ago for a project that has an unfortunate end, so i'm trying to proceed with the development on it by myself when i find a couple of spare time): http://www.epimorphics.com/web/tools/elda.html I really think it could be very usefule to have a visualizer over a Linked Data Api browser. 2013/3/28 Mike Liebhold <mnl@well.com> > Hi Maria, > > Yes, we chose Protege to visualize ontologies not large data sets. We are > currently experimenting with D3,js javascript libraries for visualizing > data sets. ( see http://d3js.org/ ) > > By the way, we did not create the site I mentionend, rather we simply > discovered the list in our scan of the web for tools for visualizing linked > data. > > http://www.mkbergman.com/414/**large-scale-rdf-graph-** > visualization-tools/<http://www.mkbergman.com/414/large-scale-rdf-graph-visualization-tools/> > > Cheers- > > Mike > > > > > > > On 3/28/13 5:45 AM, Maria Maleshkova wrote: > >> Dear Mike, >> >> why did you settle for Protege? Are you focusing mainly on visualising >> ontologies and not so much data (instances)? >> >> The list is indeed quire extensive. Is it sorted in any way? We are >> trying to distinguish a bit between research-level tools and product-ready >> tools. >> >> I also find the posts on Large-scale RDF Graph Visualization Tools very >> useful. >> >> Best, >> Maria >> >> On 27 Mar 2013, at 23:35, Mike Liebhold wrote: >> >> Dear Maria, >>> >>> We did a similar recent scan. Here's an excellent list of resources: >>> >>> http://www.mkbergman.com/414/**large-scale-rdf-graph-** >>> visualization-tools/<http://www.mkbergman.com/414/large-scale-rdf-graph-visualization-tools/> ( scroll down for the list of tools.) >>> >>> We finally settled on Protegé for a portion of our project >>> >>> http://protegewiki.stanford.**edu/wiki/Visualization<http://protegewiki.stanford.edu/wiki/Visualization> >>> >>> >>> Mike Liebhold >>> Institute for the Future >>> IFTF >>> >>> >>> On 3/27/13 2:47 PM, 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<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<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<https://twitter.com/euclid_project> >>>> Vimeo: https://vimeo.com/**euclidproject<https://vimeo.com/euclidproject> >>>> Slideshare: https://www.slideshare.net/**euclidproject<https://www.slideshare.net/euclidproject> >>>> LinkedIn: http://www.linkedin.com/**groups/Education-Training-on-** >>>> Semantic-Technologies-4917016<http://www.linkedin.com/groups/Education-Training-on-Semantic-Technologies-4917016> >>>> >>>> [1] http://www.euclid-project.eu/**modules/chapter1<http://www.euclid-project.eu/modules/chapter1> >>>> [2] http://www.slideshare.net/**EUCLIDproject/querying-linked-**data<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/ <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 23:47:36 UTC