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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R. D. Bergeron, W. Cody, W. Hibbard, D. T. Kao, K. D. Miceli, L. A. Treinish, and S. Walther. Database Issues for Data Visualization: Developing a Data Model. In J. P. Lee and G. G. Grinstein, editors, Database Issues for Data Visualization, number 871 in Lecture Notes in Computer Science, pages 3–15. Springer-Verlag, 1994.
R. D. Bergeron and G. G. Grinstein. A Reference Model for the Visualization of Multi-dimensional Data. In Proceedings of Eurographics '89, Hamburg, F. R. G., September 1989. North Holland Publishing Company.
CIE. CIE Recommendations on Uniform Color Spaces — Color Difference Equations, Psychometric Color Terms. Bureau Central de la CIE, Paris, France, 1978. CIE Publication No. 15 (E-13.1) 1971 / (TC-1.3) 1978, Supplement No. 2, 9–12.
EECS Department, University of California, Berkeley, California. The POSTGRES 4.0 References, 1992.
P. Di Gianantonio. A Functional Approach to Computability on Real Numbers. PhD thesis, University of Pisa, 1993.
W. L. Hibbard, C. R. Dyer, and B. E. Paul. A Lattice Model for Data Display. In Proceedings of IEEE Visualization '94, Washington D.C., October 1994.
W. L. Hibbard. Visualizing Scientific Computations: A System Based on Lattice Structured Data and Display Models. PhD thesis, Department of Computer Science, University of Wisconsin, Madison, 1995. Tech Report 1226.
R. B. Haber, B. Lucas, and N. Collins. A Data Model for Scientific Visualization with Provisions for Regular and Irregular Grids. In Proceedings of IEEE Visualization '91, San Diego, California, October 1991.
D. T. Kao, R. D. Bergeron, and T. M. Sparr. An Extended Schema Model for Scientific Data. In J. P. Lee and G. G. Grinstein, editors, Database Issues for Data Visualization, number 871 in Lecture Notes in Computer Science, pages 69–82. Springer-Verlag, 1994.
R. Li and P. K. Robertson. Towards Perceptual Control of Markov Randon Field Textures. In G. G. Grinstein and H. Levkowitz, editors, Perceptual Issues in Visualization, pages 83–94. Springer-Verlag, 1995.
P. Martin-Löf. Notes on Constructive Mathematics. Almqvist and Wiksell, Stockholm, Sweden, 1970.
P. K. Robertson and J. F. O'Callaghan. The Application of Perceptual Color Spaces to the Display of Remotely Sensed Imagery. IEEE Transactions on Geoscience and Remote Sensing, 26(1):49–59, 1988.
D. S. Scott. Outline of a Mathematical Theory of Computation. In 4th Annual Princeton Conference on Information Sciences and Systems, pages 169–176, 1970.
M. B. Smyth. Topology. In S. Abramsky, D. M. Gabbay, and T. S. E. Maibaum, editors, Handbook of Logic in Computer Science, Volume 1, Background: Mathematical Structures, Oxford Science Publication. Clarendon Press, Oxford, England, 1992.
P. Sünderhauf. Discrete Approximation of Spaces: A Uniform Approach to Topological Structured Datatypes and their Function Spaces. PhD thesis, Technische Hochschule Darmstadt, 1994.
J. D. Tukey. Exploratory Data Analysis. Addison-Wesley Publishing Company, Reading, Massachusetts, 1977.
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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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