Abstract
Visualization is one of the most important activities involved in modern exploratory data analysis. Traditional database data models, in their current forms, are inadequate to satisfy the data modeling need of exploratory data analysis in general and visualization in particular. A comprehensive scientific data model is required for seamless integration of various components of a scientific database system which includes visualization, data analysis, and data management.
This paper identifies the criteria of a comprehensive scientific data model and discusses the implementation aspect of such a model based on existing DBMS. Recent research in scientific data modeling and various issues raised in the workshop subgroup are also presented.
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Hibbard, W.L., Kao, D.T., Wierse, A. (1996). Database issues for data visualization: Scientific data modeling. In: Wierse, A., Grinstein, G.G., Lang, U. (eds) Database Issues for Data Visualization. DBVIS 1995. Lecture Notes in Computer Science, vol 1183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-62221-7_1
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DOI: https://doi.org/10.1007/3-540-62221-7_1
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