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https://github.com/idafensp/ar2dtool

http://ld-r.org/docs/features.html

http://lod.springer.com/live/

https://github.com/ucbvislab/d3-deconstructor

https://www.graffletopia.com/stencils/669

http://datao.net/

https://github.com/Graphity/graphity-client

Have you ever seen a rad D3 visualization and wondered what the data that created it looks like in its raw form? You’re in luck! D3 Deconstructor, a Chrome extension from UC Berkeley’s VisLab, does exactly that. from changelog

http://figshare.com/blog/Diving_into_the_haystack_to_make_more_hay_/130

http://www.yuriweb.com/

https://www.researchgate.net/post/Is_there_any_ontology_about_visualization

http://www.sciencedirect.com/science/article/pii/S0097849313001933

https://github.com/jimmccusker/rdfviewer

http://rhizomik.net/html/rhizomer/

http://dev.data2000.no/sgvizler/

http://www.wired.com/2014/04/tree-diagrams-the-most-important-data-viz-tool-in-history

http://onsem.wp.mines-telecom.fr/2014/03/18/web-visualization-of-a-simple-ontology/

https://datawrapper.de/

http://www.reddit.com/r/dataisugly

http://datavizcatalogue.com/

Wolfram Language

Crazy awesome SPARQL endpoint overview page: http://data.linkededucation.org/linkedup/catalog/browse/

https://kclpure.kcl.ac.uk/portal/en/publications/transparent-provenance-derivation-for-user-decisions(48174b05-33b4-4e47-9664-b1a3abee0fcc).html

http://commonsmachinery.se is working on modifying many programs to propagate attribution (i.e. provenance) metadata in common programs. They are using RDFa for this purpose but not yet using PROV. (Paul Groth, Dec 2013)

http://es.slideshare.net/hvdsomp/elag-201305-hvdsomp

https://bitbucket.org/emarx/rdfslice

Network motif simplification: glyphs for sub-graphs: tweet, blog, blog.

A semantic framework for multimedia document adaptation

http://en.lodlive.it/

http://infogr.am/

Data Visualization Semantics -Enrico Bertini

"No interpretation can happen if we don't connect what we see w/info already in our head", Jen Christiansen

Visualisation Ontology (VISO) 0.5 Jan Polowinski (jan.polowinski at tu-dresden.de) and Martin Voigt semvis blog (RVL)

w3c thread on SW Graphical Notation

http://timharford.com/2013/05/misinformation-can-be-beautiful-too/

Ontology namespace http://purl.org/twc/vsr/ontology

http://googlenewsblog.blogspot.com/2010/11/credit-where-credit-is-due.html

http://labs.mondeca.com/sparqlEndpointsStatus/index.html shows a great SPARQL endpoint status panel.

http://infosthetics.com/archives/2011/05/sparkblocks_and_sparkbars_tweet_visualizations_as_sparklines.html

http://taxonomy2watch.blogspot.com/2011/05/tool-to-build-faceted-navigation.html

Customizing the Composition of Actions, Programs, and Web Services with User Preferences - Shirin Sohrabi

http://panko.shidler.hawaii.edu/SSR/index.htm via Felienne Hermans (@Felienne)

http://rhizomik.net/html/redefer/rdf2svg-form/

http://www.snee.com/bobdc.blog/2011/10/displaying-sparql-results-on-a.html

http://www.openendedgroup.com/field

http://river.styx.org/ww/2010/11/fresnel/

http://recsyswiki.com/wiki/Common_Recommender_REST_API

http://www.informatik.uni-ulm.de/ni/staff/HKestler/vennm/doc.html#explore

http://www.w3.org/mid/[email protected]

http://www.w3.org/mid/CAKaEYh+1vh6V2NG67PBjAyMgw+CcuZ=cgLmBH44TY=eKmqc1qQ@mail.gmail.com

http://blog.wolframalpha.com/2012/02/08/announcing-wolframalpha-pro/

Touches slightly on visualization design considerations for computerized provider order entry systems (CPOE) CPOE system design aspects and their qualitative effect on usability. Khajouei R, Jaspers MW. Stud Health Technol Inform. 2008;136:309-14. Review. PMID: 18487749 [PubMed - indexed for MEDLINE]

http://ceur-ws.org/Vol-782/StuhrEtAl_COLD2011.pdf The code https://submarine.computas.com/oracle-lod/trunk/lodwheel/ This is live http://opendata.computas.no/lodwheel/moowheel/search?resource=http://dbpedia.org/resource/Amsterdam

Michel Dumontier HCLS vis http://www.w3.org/mid/CALcEXf4qhpVqxL6bosaUWKRKM0ZojVJSOV1Z0zJF45=UyCTWfQ@mail.gmail.com http://www.w3.org/2012/03/13-HCLS-minutes.html http://iospress.metapress.com/content/2822p340453463g1

Changing the Equation on Scientific Data Visualization by: Peter Fox, James Hendler http://www.sciencemag.org/content/331/6018/705

The changing face of visualisation in a world of data intensive science. http://eresearchau.files.wordpress.com/2011/11/peter-fox.pdf

Example of a heatmap built from a SPARQL query (medicines VS their classes): http://mathbiol-lena.googlecode.com/hg/dendroheat/dendroheat_cma.html

Finally, in the same lime of thinking, a TED talk by Jer Thorp (NYT) about visualization -http://www.youtube.com/watch?feature=player_embedded&v=Q9wcvFkWpsM

http://www.w3.org/wiki/HCLSIG/Visualization

review paper about visualizing linked data:

Semantic Web 2 (2011) 89–124 89 DOI 10.3233/SW-2011-0037 IOS Press

Approaches to visualising Linked Data: A survey

Editor(s): Krzysztof Janowicz, Pennsylvania State University, USA Solicited review(s): Anthony Robinson, Pennsylvania State University, USA; Sarven Capadisli, National University of Ireland, Ireland

Aba-Sah Dadzie a,* and Matthew Rowe b

http://www.w3.org/mid/[email protected]

http://dev.tdar.org/confluence/display/TDAR/tDAR+Draft+Context+Ontology

http://www.w3.org/mid/CAErBFCzLfVkTT_SKOCACMy9fLb7PXY5Tuh8Zp_tn29KG6BodzQ@mail.gmail.com

http://www.w3.org/mid/CAOWxDUeWia-5KTH4Joyi5OY0v2mmNfxXD9owPUGKD_5wWiU48Q@mail.gmail.com

http://www.w3.org/mid/op.wa5yama7deqt07@asusmark

http://tesis-e.appspot.com/

OLSVis (http://ols.wordvis.com/) developed by a post-doc in our group (Steven Vercruysse) for browsing complex networks.

FYI: Lynda Hardman (http://homepages.cwi.nl/~lynda/ )'s group in Amsterdam focuses on Semantic interfaces (http://www.cwi.nl/research-groups/Interactive-Information-Access) - they have an interesting set of projects (http://www.cwi.nl/research-groups/projects/INS2) pertaining to 'semantic interfaces'.

http://www.guardian.co.uk/news/datablog/2012/mar/29/google-data-visualisation-competition-economy#datasets

http://publib.boulder.ibm.com/infocenter/spssstat/v20r0m0/index.jsp?topic=%2Fcom.ibm.spss.statistics.help%2Fvizml_intro.htm

http://www.mendeley.com/research/approaches-visualising-linked-data-survey/

http://www.yasiv.com/graphs#HB/jagmesh6

http://www.nature.com/nature/journal/v442/n7098/full/442001a.html

http://eprints.soton.ac.uk/340405/

A Survey of Visualization Systems for Network Security Hadi Shiravi, Ali Shiravi, and Ali A. Ghorbani, Member, IEEE Introduction about cognition and placing the end-user at the center of the design process

http://rapid-i.com/content/view/181/190/

http://wiki.iks-project.eu/index.php/VIE

http://code.google.com/p/semanticscience/wiki/SIO describes some visual constructs

http://opendatav.is/id/1342654761085.html rdfa to specify vis

http://www.jasondavies.com/parallel-sets/

https://github.com/Graphity

http://digital.cabinetoffice.gov.uk/2012/11/12/updating-performance-dashboard/ overlays that allow a user to inspect the the data behind the graphs.

http://www.di.unito.it/~osborne/index_en.html - use of ontologies in the context of Semantic Web, Storytelling and User Modeling.

http://blogs.worldbank.org/opendata/seven-things-i-learned-about-data-visualization

    1. Re-usable visualizations let you focus on the story
    1. Expose the data behind every story (licensing!) Katy, without ever meeting him, took data that Johan has worked on and produced this great visual that quickly shows progress on the MDGs - it’s one of the best I’ve seen.

http://code.google.com/p/sgvizler/

http://answers.semanticweb.com/questions/1071/visualisation-toolkits-for-rdf

http://answers.semanticweb.com/questions/11990/what-html-templating-systems-exist-for-rdf

http://www.slideshare.net/biancanevo/toward-automatic-generation-of-sparql-result-set-visualizations

http://doi.ieeecomputersociety.org/10.1109/IV.2010.47

http://www.compjournalism.com/?p=63 computational journalism course

http://code.google.com/p/djubby/

http://www.w3.org/mid/[email protected]

http://krauthammerlab.med.yale.edu/~jpm78/tw/rdfviewer/?url=http%3A%2F%2Ftw.rpi.edu%2Fweb%2Fperson%2FJimHendler

http://liris.cnrs.fr/~pchampin/wsgi/t4r/ and http://liris.cnrs.fr/~pchampin//t4r/doc/

http://www.perceptualedge.com/blog/?p=1492

http://neilernst.net/2006/10/24/when-the-visual-information-seeking-mantra-fails/

http://bost.ocks.org/mike/make/

http://www.kitware.com/InfovisWiki/index.php/Titan_Overview

http://www.cs.ubc.ca/labs/imager/tr/2012/dsm/dsm.pdf

http://www.crowdlabs.org/

http://datathief.org/

http://www.eurorvvv.org/previous-events/2012-2/

Open Coding evaluation is discussed in J.W. Creswell, Research Design, Qualitative, Quantitative, and Mixed Methods Approaches, second ed. Sage Publications, Inc., 2002.

J.HeerandM.Agrawala.Softwaredesignpatternsforinformationvisu- alization. IEEE Trans Vis and Comp Graphics, 12(5):853–860, 2006.

"D3 uses for- mat agnostic processing" - J.HeerandM.Bostock.Declarativelanguagedesignforinteractivevisu- alization. IEEE Trans Vis and Comp Graphics, 16(6):1149–1156, 2010.

How (and How Not) to Write a Good Systems Paper" by Roy Levin and David Redell, and "Empirical Methods in CS and AI" by Toby Walsh.

http://www.visualisingdata.com/index.php/2012/06/article-the-8-hats-of-data-visualisation-design/

"Data as Stakeholder" with Martin, Fernanda, and Jeff 2010 interview

Vega, a new visualization system we've been developing at Trifacta. Vega is a visualization grammar: a declarative format for creating, saving and sharing visualization designs without programming. With Vega you can describe data visualizations in a JSON format, and generate reusable chart components that flexibly render with either HTML5 Canvas or SVG. For more, check out http://trifacta.github.com/vega/ Vega's model of visualization design is intimately influenced by our work on both the Protovis and D3 systems. Vega uses D3 heavily in its implementation. To learn more about why we built Vega and how it relates to D3, see http://github.com/trifacta/vega/wiki/Vega-and-D3

http://nvd3.org/

http://www.slideshare.net/knowfrominfo/data-day-texas-2013 Xpath/XSLT queries vs. SPARQL was almost that convenient - yet not quite. Tinkerpop seems to have a really simple & powerful graph traversal engine

Isabela:

http://blog.getprismatic.com/blog/2013/2/1/graph-abstractions-for-structured-computation

raw-data-is-an-oxymoron

[http://www.petrkeil.com/?p=302](Data-driven science is a failure of imagination)

http://datavisu.al/beta/index.html

Drawing Dynamic Visualizations

Towards Interoperable Visualization Applications Over Linked Data provides an overview of types of applications built on Linked Data, a framework for assessing tools used for building those applications, and a vocabulary to describe visual applications developed on top of LOD for more interoperability and components reusability.

http://akngs.tumblr.com/post/30393301015/declarative-data-visualization

http://blog.visual.ly/45-ways-to-communicate-two-quantities/

http://river-valley.tv/conferences/beyondthepdf-2013

http://www.vraweb.org/projects/vracore4/

Recently the terms "lean forward" (for interactive) and "lean-back" (for non-interactive) have been used to describe both interaction styles and types of media. Maybe that's what you were thinking of? See e.g.

YASGUI, new SPARQL user interface : yasgui.laurensrietveld.nl #salad2013 #eswc2013

http://linkurio.us/comparative-study/

VOWL: Visual Notation for OWL Ontologies

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