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ACM Queue has just published an interesting survey by Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky on advanced visualization techniques.
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ACM Queue has just published an interesting survey by Jeffrey Heer, Michael Bostock, and Vadim Ogievetsky on advanced visualization techniques.
Via O’Reilly Radar:
ToxicLibs — an independent, open source library collection for computational design tasks with Java & Processing.
The library, programmed in Java, contains something like 130+ classes devoted to computational design which, for the purposes of Search Computing, might translate into data visualization and interaction.
The library features packages for audio, color, geometries, and physic effects management. A set of demo applications is hosted on openprocessing.org.
Liquid Query: Multi-domain Exploratory Search on the Web
The slides refer to our presentation at WWW 2010. Have a look to our even planner demo!
The abstract of the paper and a demonstration video follow.
One of the research tracks within the Search Computing project deals with Visual Interfaces and User Interaction for Search Computing. There are plenty of JavaScript libraries out there for rendering data. This post lists 5 data visualization tools that we considered for our experiments and prototypal applications.
The Javascript Information Visualization Toolkit: The JavaScript InfoVis Toolkit provides tools for creating Interactive Data Visualizations for the Web. JIT supports multiple data representations (Treemaps, Radial Layouts, HyperTrees/Graphs, SpaceTree-like Layouts, etc), it works in the most recent versions of major browsers (IE6+, Firefox2+, Safari3+, Opera9.5+ ). JIT is licensed under the BSD License.copy right note: The content of this post has been cut and pasted from the respective technologies’ Web sites, to increase their awarness.
ManyEyes is a IBM social networking application for data visualization, where one may share and visualize data sets via a social network.
With more than 20 data visualization types and more than 100.000 publicly available data-sets, ManyEyes is a remarkable example of generic data visualization techniques adapted to heterogeneous data sources. Moreover, the available data-sets can be downloaded and used as data sources for mash-up applications.
More information on ManyEyes can be found on the project Web site.
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As an increasing number of organizations feels the need to open up their data for public usage, it also arises the need for tools able to unlock the intrinsic value of such data. Following a trend that already saw the creation of a public data search feature, Google Lab just launched the Google Public Data Explorer, an experimental visualization tool.
Synesketch is a software library (Java API) for sensing and creative visualization of textual emotions. 
According to the project’s WIKI, Synesketch
is a result of a research that spreads out through several diverse fields – from natural language processing techniques based on WordNet, across Ekman’s research of emotions, to color psychology, visual design, data visualizations, and affective computing. Graphics were done by Processing, a great tool for programming visual art
uses a WordNet-based lexicon of words with emotional weights, and several NLP heuristic rules (e.g. emotional intensity of a sentence with emotional words is proportional to the number of exclamation marks at the end of the sentence). The algorithm transfers a (presumably small) chunk of text (e.g. basic unit of text in a chat conversation) into several emotional parameters … which defines emotional content of the text.