Ontology Construction for Scientific Visualization

Abstract

Ontology for scientific visualization is constructed in our laboratory. Its framework, construction method and design trade-off decision are presented in this paper. The ontology is composed of four main pillars: dataset, filter, device and pipeline, and they are then further decomposed into many sub-components. Using this concept of ontology can help scientists and engineers in various aspects such as communicating and sharing, quick learning, knowledge reusing, etc. As an application, we developed a semantic grid service for scientific visualization based on this ontology