- From: Marcello Leida <marcello.leida@kustar.ac.ae>
- Date: Thu, 28 Mar 2013 08:28:23 +0000
- To: "public-lod@w3.org" <public-lod@w3.org>
- Message-ID: <C628FD48A4487347B629E062EF19AD5A0DE483@KU-SH-MBX02.kustar.ac.ae>
Dear Maria, I would add http://www.cubist-project.eu/ SWP http://topquadrant.com/swp/swp-in-topbraid.html Fresnel http://www.w3.org/2005/04/fresnel-info/ These articles as well propose a method supported by an ontology for semi-automatic visualization of SPARQL resultsets: Marcello Leida, Du Xiaofeng<http://www.informatik.uni-trier.de/~ley/pers/hd/x/Xiaofeng:Du.html>, Paul Taylor<http://www.informatik.uni-trier.de/~ley/pers/hd/t/Taylor:Paul.html>, Basim Majeed<http://www.informatik.uni-trier.de/~ley/pers/hd/m/Majeed:Basim.html>: Toward Automatic Generation of SPARQL Result Set Visualizations - A Use Case in Service Monitoring. ICE-B 2011<http://www.informatik.uni-trier.de/~ley/db/conf/icete/ice-b2011.html#LeidaXTM11>: 181-186 Marcello Leida, Ali Afzal<http://www.informatik.uni-trier.de/~ley/pers/hd/a/Afzal:Ali.html>, Basim Majeed<http://www.informatik.uni-trier.de/~ley/pers/hd/m/Majeed:Basim.html>: Outlines for Dynamic Visualization of Semantic Web Data. OTM Workshops 2010<http://www.informatik.uni-trier.de/~ley/db/conf/otm/otm2010-w.html#LeidaAM10>: 170-179 Regards. From: Maria Maleshkova [mailto:maria.maleshkova@kit.edu] Sent: Wednesday, March 27, 2013 8:50 PM To: public-lod@w3.org Subject: Visualizing Linked Data - did we miss anything? 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 § 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<http://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<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<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<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 08:30:47 UTC