- From: Mike Liebhold <mnl@well.com>
- Date: Wed, 27 Mar 2013 15:35:45 -0700
- To: Maria Maleshkova <maria.maleshkova@kit.edu>
- CC: Linked Data community <public-lod@w3.org>, euclid-project@sti2.org
- Message-ID: <51537441.2060500@well.com>
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/ ( scroll down for the list of tools.) We finally settled on Protegé for a portion of our project 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) 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 <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 Wednesday, 27 March 2013 22:36:22 UTC