Abstract
Owing to the volume of data generated in recent computations and experiments, it is quite difficult to extract useful information from these data even if using scientific/information visualization techniques. Method or methodology to extract useful information from such data should be considered. Several concepts of very large scale visualization are proposed in this situation. Most of them are based on high-performance computing techniques or highly-efficient devices for computer graphics. In this paper, a flexible visualization methodology based on "analysis of visualization process" is introduced. A possibility that a visualization agent designed from a process model helps to reduce the difficulty of handling huge data is described.
