Providing content with context is the next step in providing information (i.e. content) of any kind. For that it is necessary, like with uml, tablecharts or mindmaps to link the contents together, in the way how they are interdependent. This faciliates more effective learning, new generations of search algorithms, reporting tools, content management systems and artificial intelligences as well as automation of content retrieval. The presented java tool, provides a facility to insert all types of content in a graph, search over them and their corresponding contexts in the manner specific to each content and learn them by their contexts. Highlights are: amazing spidering of websites, spidering of a database, learning languages, learning contents by their contexts, graph editor (with plugable node contents)
Release Notes: This release includes activation and Web site spidering, BrainStorm mode improvements, retriever improvements, and a general file node.
Release Notes: A brainstorm mode has been added.
Release Notes: The documentation and the concept have been improved. The client was switched to a plugin architecture and the model now supports listeners.
Release Notes: The Database and VocabularySource Retriever have been fixed, and are now quickly approaching the Retriever specification. Some Frontend features and some help functions like Legend and Demo were integrated, but are now in a pre-alpha state, the parent now shows the number of it's hidden children, the MAKMap tutorial has been updated, and an additional FAQ was added.
Release Notes: Addition of zooming in and out, and critical bugfixes with creation of new MindMaps and startup.