Semantic filters for input data for the scientific visualization system SciVi

This article deals with the method of extension of the scientific visualization system SciVi, which can be fine-tuned to the specifics of problems solved in this system. The method of constructing semantic filters by means of a user's graphical interface is suggested. Extensibility and flexibility of the solution proposed are achieved through controlling the program operation by means of ontological knowledge base on filters. To adjust the visualization system to the specifics of a particular task, the user is only to connect nodes which describe input and output data of a solver with objects selected for the visualization. The semantic filters that are available to the user from the repository serve as intermediate nodes in the resulting data flow diagram. The client-server architecture of the application allows for distributing the load in accordance with the users' needs.