iMapping combines the core advantages of the mind-mapping, concept mapping and spatial hypertext techniques, which are incompatible in their original form.īy taking a zooming and nesting approach, iMapping allows for deep hierarchical structures, which are crucial for dealing with large amounts of information items. These requirements form the basis for the design of iMapping. Both tools are primarily intended for the domain of personal knowledge management, although they could also be applied more generally.īased on an analysis of the strengths and weaknesses of established visual knowledge mapping techniques, a set of requirements is derived that an ideal visual knowledge mapping system for personal knowledge management should address. It can be seen as an interactive semantic command-line that offers an alternative way to access the same structured information with very high interaction efficiency. QuiKey is a text-based tool to author, browse and query graph-structured knowledge bases in a step-by-step manner. iMapping is a visual knowledge mapping technique that combines the advantages of several existing approaches and scales up to very large maps. This thesis describes iMapping and QuiKey, two novel user interface concepts for dealing with structured information.
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