Thanks Oscar. Your presentation is much nicer than mine.
re: * Matrices, parallel co-ordinates
* Timeline and topology plots, map and landscape views
A problem for visualizations (and a huge concern of mine) is that the
underlying physics of the visualization be a Socio-Technical System. That
means that physical constants remain constant under iteration by degrees (0-90)
and radians (0-PI/2) in a parallel coordinate system. Economists and
for-profit businesses regularly get this wrong, because the apparent result is
mighty attractive, "new and improved", "shows growth" and so forth, with some
unwitting validation from Contract Law*. Governments should not work this way
- the apparent variability is 100% due to "hidden fees" (truncation on a
chaotic boundary). For example (#2), sunset and sunrise calculations are
"centered" on mid-summer. Solar Noon wanders around Local Noon according to
The Equation of Time, but never more than about half an hour of a clock noon -
the center of lunch hour - or Siesta. Siesta caused many Work-Life Balance
problems on the real boundary with Family Time
around sunrise and sunset. The logical mistake was that a watch was
registering the true constant labelled "noon" and the sun was being somehow
disorderly - a "Watch Ethic" disguised as a "Work Ethic", it only worked on the
Mid-Summer's Day.
Thanks for the confusing explanation, Gannon.
Socio-Technical Systems fix this, the math is fairly straight forward.
If someone at KIT or FI.UPM.ES would like to help me improve the teach-ability
please contact me off line.
--Gannon
* Example #1: A One Year Contract = 365.242196 Day Contract according to
Astronomers (Kepler) and a 365.25 Day Contract according to Bankers and a 365
Day Contract according to the Payroll Department. It's a "tri-label" not a
three (tri)-nomial.
________________________________
From: Oscar Corcho <[email protected]>
To: Maria Maleshkova <[email protected]>; [email protected]
Cc: [email protected]
Sent: Wednesday, March 27, 2013 5:43 PM
Subject: Re: Visualizing Linked Data - did we miss anything?
Hi Maria,
If you are interested in covering map-based visualizations, you may want to add
Map4RDF (http://oegdev.dia.fi.upm.es/map4rdf/)
Oscar
--
Oscar Corcho
Ontology Engineering Group (OEG)
Departamento de Inteligencia Artificial
Facultad de Informática
Campus de Montegancedo s/n
Boadilla del Monte-28660 Madrid, España
Tel. (+34) 91 336 66 05
Fax (+34) 91 352 48 19
De: Maria Maleshkova <[email protected]>
Fecha: miércoles, 27 de marzo de 2013 17:49
Para: <[email protected]>
Asunto: Visualizing Linked Data - did we miss anything?
Nuevo envío de: <[email protected]>
Fecha de nuevo envío: Wed, 27 Mar 2013 21:28:39 +0000
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
[email protected] 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/euclidprojectLinkedIn:
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: [email protected]
KIT University of the State of Baden-Württemberg and National
Large-scale Research Center of the Helmholtz Association
