Development of ontology-based multiplatform adaptive scientific visualization system

• We suggest unified approach to develop scientific visualization systems.
• The approach covers automated ontology-based integration with third-party solvers.
• The system is portable: it works on mobile devices, desktops and supercomputers.
• High interactivity is ensured by the adaptive distribution of the rendering.
• High visual quality of result image is ensured by the adaptive anti-aliasing.

In this paper, we propose methods and tools for multi-platform adaptive visualization systems’ development that meets the specific visualization requirements of the computational experiments in the different fields of science. The proposed approach was implemented within the client-server rendering system SciVi (Scientific Visualizer) presented in this paper. This system provides multi-platform portability and automated integration with different solvers based on ontology engineering methods. SciVi is used in Perm State University to help scientists and researchers acquire the necessary multidisciplinary skills and to solve real scientific problems by means of adaptive visualization tools.