Abstract
Visualization management systems which integrate database management, data visualization, and graphical user-interface generation into one package are becoming essential tools for conducting science. Unfortunately, the link between data management and data visualization is not very well understood. To make matters worse, most database management systems available today are not well-suited for handling large, time-sequenced data sets that are common to many scientific disciplines. The reason for this shortfall is that most database systems do not use an appropriate data model, are not geared toward real-time operation, and they have inadequate user-interfaces. Hints as to how database systems can fix these problems are given so that effective visualization management systems can be constructed.
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© 1994 Springer-Verlag Berlin Heidelberg
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Kochevar, P. (1994). Database management for data visualization. In: Lee, J.P., Grinstein, G.G. (eds) Database Issues for Data Visualization. DBVIS 1993. Lecture Notes in Computer Science, vol 871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0021148
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DOI: https://doi.org/10.1007/BFb0021148
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