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ENGLISH USER GUIDE

ENGLISH USER GUIDE
VUE is a flexible software program designed to enable faculty and students to integrate electronic content into their teaching and learning. Developed at Tufts, the Visual Understanding Environment (VUE) is a tool for managing data with a focus on using digital repositories. Using VUE, the process of selecting and organizing data transforms information into meaningful knowledge. Please use the side navigation to explore topics covered in this user guide.

https://wikis.uit.tufts.edu/confluence/display/VUEUserGuide/ENGLISH+USER+GUIDE

Related:  2015-03-31

03 Importing a matrix dataset Skip to end of metadataGo to start of metadata Importing a matrix dataset: In both cases whether you are importing a wide or tall version of your matrix data you will want to import the file in CSV format. Your data may require some cleaning for VUE to be able recognize the matrix, if you have questions about how your data needs to be formatted be sure to ask on the VUE User Forums. Select Windows > Datasets. 15 Effective Tools for Visual Knowledge Management Since I started my quest a few years ago searching for the ultimate knowledge management tool, I’ve discovered a number of interesting applications that help people efficiently organize information. There certainly is no shortage of solutions for this problem domain. Many tools exist that offer the ability to discover, save, organize, search, and retrieve information. However, I’ve noticed a trend in recent years, and some newer applications are focusing more on the visual representation and relationship of knowledge. I believe this is in part due to the wider adoption of mind mapping (and concept mapping), and leveraging concepts and advances in the semantic web community. Most traditional personal knowledge management (PKM) or personal information management (PIM) applications offer the same basic set of features:

Gallery Introduction At Except, we use VUE almost every day; because of its simplicity, we have found it to be the most useful tool available for quickly making system maps and causal loop diagrams. Click for full image Using VUE The two maps shown here are an example of how we use the program. They show simplified life cycle production chains. Ontologies Skip to end of metadataGo to start of metadata Ontologies are a list of related terms, both nodes (concepts) and links (relationships), which can be imported and added to a VUE map to provide semantic meaning. VUE can import ontologies defined in RDF-S or OWL formats allowing for the creation of concept maps from pre-defined object and relationship types. A defined mapping vocabulary scaffolds map creation and supports computer-assisted map comparison and assessment. The visual characteristics of objects and relationships defined in an ontology may also be styled via a CSS file (a default CSS file ships with VUE). Ontological terms are searchable.

The battle of Stalingrad More about the battle of Stalingrad The battle of Stalingrad began on the 19th August 1942. Taking Stalingrad would have given Germany access to key oilfields, however the dogged resistance of the Red Army forced them to fight house-to-house. The Germans were defeated in 1943 when the Soviet troops encircled their frontlines and counter-attacked from outside the city – illustrated here. More from Cities in History If Ancient Alexandria was found at…

01 Creating a New Map Skip to end of metadataGo to start of metadata Default New Map: When launching VUE, an empty VUE map is automatically created. A VUE map is a blank canvas onto which one can draw nodes and link them together, much like a traditional mind map or concept map. This section of the User Guide helps you get started. Creating Additional Maps:

04a Working with Content Skip to end of metadataGo to start of metadata VUE supports attached digital content from your computer, the Web and from remote systems such as FTP sites, digital repositories, and Google servers. Content can be added to the map as a node or attached to existing nodes. Once these resources are attached and integrated into individual nodes and links, the concept map becomes a content map. The VUE map becomes an extension of the Web and of digital repositories. visualizing.org: a New Shared and Free Resource on Data Visualization Visualizing [visualizing.org] has just been released as the latest online player in the ever-increasing blogosphere about the topic of data visualization. But Visualizing is different in many ways. For one, the man behind the Visualizing initiative is Adam Bly, founder and Editor-in-Chief of Seed and one of the people behind the impressive Design and the Elastic Mind exhibition at MoMA. Together with the fact that Visualizing is also supported by a wide range of highly reputable design institutions, the website positions itself as the most serious media player in the field of data visualization, enjoying an unseen amount of credibility and financial funding. While Visualizing.org's mission is to help make data visualization figure more prominently across the web as a way of understanding complex world issues as they unfold, it is not a weblog in the classic sense.

02 Creating Nodes Skip to end of metadataGo to start of metadata The first step in building the map is to create a node. A node is a shape that represents a concept or idea. Removing VUE Registry Entries Skip to end of metadataGo to start of metadata Sometimes users may want to remove entries related to VUE from the Windows registry. We advise users to exercise caution while modifying the registry entries. Changes made to registry happen immediately and no backup is automatically made. Please read the following warning issued by microsoft.

Christopher Baker Email became an integral part of my life in 1998. Like many people, I have archived all of my email with the hope of someday revisiting my past. I am interested in revealing the innumerable relationships between me, my schoolmates, work-mates, friends and family. This could not readily be accomplished by reading each of my 60,000 emails one-by-one. Instead, I created My Map, a relational map and alternative self portrait. 03 Creating Links Skip to end of metadataGo to start of metadata Once nodes have been created, the next step will be to create relationships between the nodes by linking them. Where nodes represent concepts or ideas, links represent relationships between the concepts. The process of linking the nodes adds organization to the map. Method 1: Toolbar From the toolbar, click the Link Tool.

How To Change the User Agent String in Firefox Do you need a quick way to change the user agent string in Firefox for a specific website? Choose the string that you need from a preset list (or from custom entries) with the User Agent Switcher extension. Note: Works with Firefox, Flock, SeaMonkey, and Songbird. Before Before adding the extension to our browser we tested the user agent string at UserAgentString.com and got a positive I.D. result for Firefox.

CCT General Information General InformationMapping Great Debates: Can Computers Think? Maps | General information (large file!) | Details and features | Specifications | Issue areas | Press release Methodology | Background paper | The cartographic metaphor | Criteria | How the maps work (large file!)For Instructors and Students | Importance of Turing debate | For instructors | For students | Protagonist index | FAQS Commentary and Reviews | Commentary and reviews | Errata and corrections Action Items | Buy the set of maps | How you can participate in this debate Examples | View the maps. | Map 1 | Map 2 | Map 3 | Map 4 | Map 5 | Map 6 | Map 7 | (large files!)MacroVU home page | Send us a message | Project Director's Home Page

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