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GUESS: The Graph Exploration System three for all JUNG - Java Universal Network/Graph Framework Data Visualization: Modern Approaches « Smashing Magazine About The Author Vitaly Friedman loves beautiful content and doesn’t like to give in easily. When he is not writing or speaking at a conference, he’s most probably running … More about Vitaly Friedman … Data presentation can be beautiful, elegant and descriptive. There is a variety of conventional ways to visualize data - tables, histograms, pie charts and bar graphs are being used every day, in every project and on every possible occasion. Data presentation can be beautiful, elegant and descriptive. So what can we expect? Let’s take a look at the most interesting modern approaches to data visualization as well as related articles, resources and tools. 1. Trendmap 2007 Informationarchitects.jp presents the 200 most successful websites on the web, ordered by category, proximity, success, popularity and perspective in a mindmap. 2. Newsmap is an application that visually reflects the constantly changing landscape of the Google News news aggregator. 3. 4. 5. 6. Visualcomplexity.com

online graphical dictionary Visuwords™ online graphical dictionary — Look up words to find their meanings and associations with other words and concepts. Produce diagrams reminiscent of a neural net. Learn how words associate. Enter words into the search box to look them up or double-click a node to expand the tree. It's a dictionary! Visuwords™ uses Princeton University’s WordNet, an opensource database built by University students and language researchers. The Visuwords™ Interface To use the applet you only need to type a word into the search query at the top of the page and press 'Enter'. You can zoom the model in and out by rolling the wheel on your mouse. Understanding the links between Synsets "is a kind of" — hyponym/hypernym pair With regards to "wheat" and "grain", we see a cyan link from "wheat" pointing towards "grain" we can understand this to mean that wheat "is a kind of" grain.

Flare | Data Visualization for the Web XmdvTool Home Page: Overview Overview XmdvTool is a public-domain software package for the interactive visual exploration of multivariate data sets. It is available on all major platforms such as UNIX, LINUX, MAC and Windows. XmdvTool is developed using Qt and Eclipse CDT. Scatterplots Star Glyphs Parallel Coordinates Dimensional Stacking Pixel-oriented Display XmdvTool also supports a variety of interaction modes and tools, including brushing in screen, data, and structure spaces, zooming, panning, and distortion techniques, and the masking and reordering of dimensions. XmdvTool has been applied to a wide range of application areas, some of which are highlighted in our Case Studies. You can learn more details via the slides "XMDV Project Overview: 1997 to 2007 and Beyond". 1. 2. The goal of this project is to develop technology in support of the visual analytics process. 3. 4. The XmdvTool project has been supported by NSF under prior grants IIS-0119276, IIS-9732897 and IRIS-9729878.

Visualizious: Visualizing Social Indexing Visualizious Visualizious is a research project about social indexing (a.k.a. social tagging), information retrieval and visualization. The project is carried out by Yusef Hassan Montero and Víctor Herrero Solana (University of Granada, Spain). Visualizing Social Indexing Semantics This prototype allows visualizing both the overview and detail of semantic relationships intrinsic in the folksonomy. Screenshots (click to enlarge) Related papers Hassan-Montero, Y.; Herrero-Solana, V. (2007) Visualizing Social Indexing Semantics. Improved Tag-Clouds Tag-Cloud is a simple and widely used visual interface model, but with some restrictions that limit its utility as visual information retrieval interface. Our work presents a novel approach to Tag-Cloud's tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. Screenshot (click to enlarge) Related papers Previous Research (in spanish)

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