Abstract
In the framework of Visualization in Scientific Computing (ViSC) the definition of reference models appears to be an especially promising research area. In this paper we propose a unified approach to the analysis of reference models based on keyword classification. We analyze several models representing either visualization systems or complex computational and visual processes. We propose grouping the reference models in two sets called Reference Models in Scientific Visualization and Reference Models of Visual Computational Simulations respectively. For each of these two sets we present a general overview of reference models belonging to, we identify the main concepts and keywords characterizing the reference model definitions, and we present the result characterization organized in lists. We propose definitions of the structure of each of the reference model and representative keyword sets. To characterize specific models, and underline either their commonalties or distinctions, we label for instance two- or three-dimensional and one- or multilevel structures. We start to develop a comparative analysis of separate approaches and we identify elements significant for further advances in reference model design.
Published Version
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