- From: Carlos Tejo <carlos.tejo@fundacionctic.org>
- Date: Wed, 3 Apr 2013 16:17:19 +0200
- To: Maria Maleshkova <maria.maleshkova@kit.edu>
- Cc: public-lod@w3.org
Dear all, Regarding visualization of Linked Data, we (CTIC Foundation) are developing a couple of components (HTML5 front-end widgets) that you may want to include in the survey. Understats [1] (Understanding Statistics): facilitates end-users an interactive exploration of statistical and multidimensional data. It generates responsive charts from the inspection of the dimensions and measures comprising a statistical indicator represented with the RDF Data Cube vocabulary. Find a demo in [2] Undermaps [3] (Understanding Maps): produce web-map visualizations of geographic and cartographic information. Find a demo at [4]. Undermaps is sensitive to geospatial data expressed in the following semantic ways: - features are RDF resources linked to their geometries (a KML file) through the NeoGeo Vocabulary (in case of points, W3C Basic Geo Vocabulary is used). - types of features should be represented as SKOS concepts - map styles, comprising the legend, are related to the SKOS hierarchy (using a property). A style can be a SVG-designed symbol or a Google Maps JSON. Best regards, Carlos Tejo [1] http://idi.fundacionctic.org/tabels#charts [2] http://idi.fundacionctic.org/tabels/tapinos?endpoint=http://idi.fundacionctic.org/tabels/project/MouseStatsQB/sparql/&id=MouseStatsQB [3] http://idi.fundacionctic.org/tabels#maps [4] http://idi.fundacionctic.org/tabels/map?endpoint=http://idi.fundacionctic.org/tabels/project/safetyRegions/sparql/&id=safetyRegions Carlos Tejo Alonso CTIC-Centro Tecnológico Parque Científico y Tecnológico de Gijón c/ Ada Byron, 39 Edificio Centros Tecnológicos 33203 Gijón - Asturias - Spain Tel.: +34 984 29 12 12 Fax: +34 984 39 06 12 E-mail: carlos.tejo@fundacionctic.org http://www.fundacionctic.org Privacy Policy: http://www.fundacionctic.org/privacidad On 27 March 2013 17:49, 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 >
Received on Wednesday, 3 April 2013 14:18:17 UTC