The Visual Understanding Environment (VUE) is a concept mapping tool that integrates digital resources into teaching and learning. It allows users to build presentations based upon their concept maps. It also supports federated searching against many different data sources including MFA, JStor, ArtStor, Google, Yahoo, PubMed and others.
It includes tools for dynamic presentation of maps, support for semantic mapping using ontologies, an expanded search of online resources (Flickr, Yahoo, Wikipedia, Twitter, etc.) and the ability to publish VUE maps directly to Fedora digital repositories and Sakai
Vic’s Picks are tools that Vic believes are significant and in the mainstream of mapping.