Sequoia 2000 metadata schema for satellite images
ACM SIGMOD Record
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Non-visualization experts, including most scientists, find visualization systems like AVS too difficult to use. One approach to assisting these end-users in doing interactive visualization is to embed the knowledge of visualization experts into an intelligent system. A prototype, called Tecate, of such a system has been devel- oped as part of the Sequoia 2000 Project. In this system, a Planner makes use of expert knowledge stored in a Knowledge Base to create data-flow visualization programs. The Planner takes as input a description of the data to be visualized and an indication of the data analysis goals of an end-user. From this information, an AVS network script is produced that when executed, builds an appropriate visualization of the indicated data set. The networks so produced make use of both a restricted set of standard AVS modules and a collection of custom ones which operate on data structured as fiber bundles.