- From: Maria Maleshkova <maria.maleshkova@kit.edu>
- Date: Thu, 28 Mar 2013 13:45:42 +0100
- To: Mike Liebhold <mnl@well.com>
- CC: Linked Data community <public-lod@w3.org>
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/ ( scroll down for the list of tools.) > > We finally settled on Protegι 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> 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-Wόrttemberg and National >> Large-scale Research Center of the Helmholtz Association >> >> >
Received on Thursday, 28 March 2013 12:46:06 UTC