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Inherent logical structure of computational data: Its role in storage and retrieval strategies to support user queries

  • Papers: Data Models
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Database Issues for Data Visualization (DBVIS 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 871))

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Abstract

This paper describes a data management strategy which implements the thesis that the design of object-oriented. scientific databases (e.g., the data structures, hashing procedures) should incorporate the domain-specific relations of objects in the database to facilitate extraction and extrapolation services required by user queries. The strategy has been used to create object-oriented databases from data sets computed by iterating over meshes, incorporating a variety of geometries and coordinate systems. One set of data structures defining the data object and the hashing maps is sufficient to manage this type of data (multiple scalar and vector quantities at nodes in an n dimensional mesh) for interactive examination on both serial and massively parallel facilities. The question raised is: can this approach which exploits the inherent logical relations of meshed data generated by simulations of fluid flows be applied to scientific data from other domains with different inherent relations?

Research supported by NSF grants IRI-9116558 and ECS-9110424.

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John P. Lee Georges G. Grinstein

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© 1994 Springer-Verlag Berlin Heidelberg

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Walther, S. (1994). Inherent logical structure of computational data: Its role in storage and retrieval strategies to support user queries. 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/BFb0021147

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  • DOI: https://doi.org/10.1007/BFb0021147

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58519-0

  • Online ISBN: 978-3-540-49016-6

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