An attempt to group together some of the technologies for visualising relationships between systems (IT and biological) Feb 17
About ConceptNet ConceptNet is a semantic network containing lots of things computers should know about the world, especially when understanding text written by people. It is built from nodes representing concepts, in the form of words or short phrases of natural language, and labeled relationships between them. These are the kinds of things computers need to know to search for information better, answer questions, and understand people's goals. ConceptNet contains everyday basic knowledge: You would learn because you want knowledge.
Welcome to FCMappers! Sunday, 09 August 2009 13:29 superadmin Hello, If you are visiting this Webpage for the first time you should read the whole article below. It will give you directions and instructions on what you can do on our webpage. Right or wrong on this website? FCMappers is not a nerdy football club of a city called Mappers.
DESKTOP-APPS-NODES3D - BRAINMAPS.ORG - BRAIN ATLAS, BRAIN MAPS, BRAIN STRUCTURE, NEUROINFORMATICS, BRAIN, STEREOTAXIC ATLAS, NEUROSCIENCE
C-Link - Concept Linkage In Knowledge Repositories Knowledge repositories proliferate at an accelerating rate. While these offer excellent support for specific information searches, there is limited support for unstructured browsing or semi-structured information gathering, when a user does not know what there is to know (but wants to find information connecting known concepts). --- Use C-Link Now!
After learning the basics of R, I decided to learn something harder last week. I picked Social Network Analysis (SNA) to learn the concepts of SNA and R. My primary interest in SNA is visual exploration of networks, so I needed to find a tool first. Which tool to use for visual SNA? Features needed: 1) graphical representation of network
Resources Stephen Davies, Javier Velez-Morales & Roger King. Building the Memex Sixty Years Later: Trends and Directions in Personal Knowledge Bases. 2005 Resources on mind mapping packages, include: Resources on concept mapping include: Visualisation tools resource list
Linked Data is about using the Web to connect related data that wasn't previously linked, or using the Web to lower the barriers to linking data currently linked using other methods. More specifically, Wikipedia defines Linked Data as "a term used to describe a recommended best practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF." This site exists to provide a home for, or pointers to, resources from across the Linked Data community. Part of the Linking Open (LOD) Data Project Cloud Diagram, click for full and historical versions...
Pajek.net files from Roget's Thesaurus
Thinkmap 5 Officially Released Announcing Thinkmap 5, dynamic data-driven visualization, now in HTML5. Faster, easier to implement, with new, and more powerful, visualizations.
We offer a number of programs that make it easy for institutions to purchase the Visual Thesaurus and provide access to their population at a discounted rate. We also offer special discounts to accredited academic institutions. Site Licenses to the Visual Thesaurus: With a Site License, your entire organization has instant access to the Visual Thesaurus, VocabGrabber, the Visual Thesaurus Spelling Bee, and the online magazine. The Visual Thesaurus is easy to install and administrate. We offer: Thinkmap Visual Thesaurus
The Visual Thesaurus is an interactive dictionary and thesaurus which creates word maps that blossom with meanings and branch to related words. Its innovative display encourages exploration and learning. You'll understand language in a powerful new way. Say you have a meaning in mind, like "happy." The VT helps you find related words, from "cheerful" to "euphoric." How It Works
We have designed Thinkmap to be easily extendable, fast, and able to integrate with a wide variety of legacy systems. Thinkmap is composed of a number of loosely coupled components that can be quickly reconfigured to fulfill many different visualization tasks. These components are lightweight, flexible, and standards-based. The unique features of Thinkmap start with a sophisticated core. The core enables the dynamic, asynchronous flow of data that is Thinkmap's hallmark. Architecture
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. Click and drag the background to pan around and use the mouse wheel to zoom.
July 14, 2004 A new survey of ontology editors was conducted as a follow-up to an initial survey conducted in 2002. The results of the survey are summarized in this article. Ontology Tools Survey, Revisited
Several people have asked me how I produced the visualizations that I used in my talk on del.icio.us. While those visualizations were constructed with a rather eclectic mixture of homebrewed code, assorted applications, and a good bit of elbow grease, I decided to put together a tutorial for people who might be interested in this type of visual exploration, but are not inclined to write custom Perl code to do so. Hence, I have selected a combination of two very nice applications for Mac OS X - Anthracite and OmniGraffle - to produce similar visualizations. Neither application is free, but both have free trial periods, should you be inclined to check them out. Mapping del.icio.us with Anthracite and OmniGraffle
Introduction Many modern data sets, even those considered modestly sized, contain hundreds of thousands or even millions of variable pairs—far too many to examine manually. If you do not already know what kinds of relationships to search for, how do you efficiently identify the important ones? MIC and the MINE family The maximal information coefficient (MIC) is a measure of two-variable dependence designed specifically for rapid exploration of many-dimensional data sets. MIC is part of a larger family of maximal information-based nonparametric exploration (MINE) statistics, which can be used not only to identify important relationships in data sets but also to characterize them.
NRNB and Cytoscape Introduction to the National Resource for Network Biology How to Cite Cytoscape Cytoscape project needs your support! Please cite either of the following papers when you use Cytoscape in your publications, which is very important to sustain our federal funding.
OS Java Network Visualization
Visualizing RDF Schema inferencing through Neo4J, Tinkerpop, Sail and Gephi - Datablend
Graphical visualization of text similarities in essays in a book | munterbund.de
Gaping Holes In Your Password Security
Could A Tool Like This Turn Every M.D. Into Dr. House?