Abstract
The remainder of this paper discusses the major issues related to the development of data models for scientific visualization which were identified by the data model subgroup at the IEEE Workshop on Database Issues in Visualization held in October 1993 in San Jose, California. The issues include the need to develop a reasonable taxonomy to apply to data models, the definition of metadata (or ancillary data), the notion of levels of abstraction available for defining a data model, the nature and role of queries in a data model, and the effects of data errors on a data model.
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© 1994 Springer-Verlag Berlin Heidelberg
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Bergeron, R.D. et al. (1994). Database issues for data visualization: Developing a data model. 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/BFb0021141
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DOI: https://doi.org/10.1007/BFb0021141
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