three for all 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.
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)
rhnav - rhizome navigation used to create genealogy motion graphics - Mind Your Own Business Blog & Wiki (mdm.net) I kept quiet about this project for quite a while, but now is the time to tell you a little bit about it: For an upcoming documentary by Benedikt Bjarnason, Rhizome Navigation was used to create animated visualizations of large genealogy data sets. Below you can find a sample. It shows a 3d family tree starting with director Bjarnason at the bottom and going up to early icelandic settlers from early 10th century. What set's it apart from similar visualizations is the capability to show far more complex relationships by breaking up the classic tree structure and following a more rhizome-like approach - and of course the sheer amount of relationships shown. Rhizome Navigation is a development framework for building data mining and information visualization related (real-time) applications. Update: French blogs talk and comment on Rhizome Navigation.
Radio Protector Chris Harrison - WikiViz: Visualizing Wikipedia Introduction Wikipedia is an interesting dataset for visualization. As an encyclopedia, it's articles span millions of topics. During my time at AT&T Labs, which coincidently has a great information visualization group, I started think about how to visualizing something as massive as Wikipedia. I don't buy into the reuse-recycle methodology. And so I leaped head first into my own large-scale data visualization project, from scratch. WikiViz v5 The fifth incarnation of WikiViz (v5) saw several significant improvements. I have included a few sample renderings for those who are curious. The nodes seen in the graph above were selected by starting at Wikipedia’s Science category page, and traversing category links to a depth of 100 hops. WikiViz v1 to v4 Below are some visualizations that have been produced.
Pathway Visual Literacy: An E-Learning Tutorial on Visualization for Communication, Engineering and Business