Hyperbolic Tree for Effective Visualization of Large Extensible Data Standards
Large data standards specify tens of thousands of data elements that have intricate relationships. Without effective visualization, it is extremely difficult to understand such large data standards. This is further exacerbated when users are allowed to extend data standards, which in effect produces multiple versions of data standards. In this paper, the authors develop a hyperbolic tree based visualization technique that uses different colors of node labels to distinguish different groups of relationships. Edge colors are also differentiated to visualize extensions to a given standard.