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Data integration for visualization systems

  • Papers: Data Models
  • Conference paper
  • First Online:
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 discusses integration issues and metadata requirements exposed by integrating independently developed molecular simulation codes into a single package. We discuss the use of a structured data model as compared to programming language data structures for data integration. As an example we consider the architecture of a commercially available simulation and visualization system for quantum chemistry. The system architecture currently uses a fairly low level approach to integration using a physical integration scheme much like CDF or HDF. Extensions and trade-offs in moving towards a more structured model are presented. We also present requirements for metadata in scientific data systems. Issues of theory dependencies and implementation dependencies must be addressed when integrating scientific data systems. We argue that appropriate treatment of metadata such as theory dependencies and implementation dependencies is critical to the long term success and extensibility of scientific data systems.

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Author information

Authors and Affiliations

  1. Cray Research, Inc., 655E Lone Oak Drive, 55121, Eagan, Minnesota

    Karen L. Ryan

Authors
  1. Karen L. Ryan
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Editor information

John P. Lee Georges G. Grinstein

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© 1994 Springer-Verlag Berlin Heidelberg

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Ryan, K.L. (1994). Data integration for visualization systems. 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/BFb0021146

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  • DOI: https://doi.org/10.1007/BFb0021146

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58519-0

  • Online ISBN: 978-3-540-49016-6

  • eBook Packages: Springer Book Archive

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