High-Level Toolset For Comprehensive Visual Data Analysis and Model Validation
Konstantin Valentinovich Ryabinin, Svetlana Igorevna Chuprina · Procedia Computer Science · 2017
The paper is devoted to the new method of high-level scientific visualization, comprehensive visual analysis and model validation tools development using new version of client-server scientific visualization system SciVi as an example. The distinctive features of the methods implemented are ontology-based automated adaptation to third-party data sources from various application domains and to specifics of the visualization problems as well as multiplatform portability of the software solution. High-level tools for semantic filtering of the rendered data are presented. These tools improve visual analytics capabilities of SciVi enabling to validate solvers’ or/and data sources’ models in more comprehensive form and to reduce uncertainties due to the explicit representation of hidden features of data.