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Pictorial Information Systems in Medicine pp 263–292Cite as

Programming Support for Data-Intensive Applications

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Part of the book series: NATO ASI Series ((NATO ASI F,volume 19))

Abstract

Relations are in the process of being accepted as a data structure adequate for a wide variety of applications. On the one hand this is due to the powerful and high level operators on relations, on the other it results from additional services such as recovery management, concurrency control and expression optimization provided by relational systems.

In its first part, the paper presents a database person’s view of data definition and data processing, and outlines principles of database programming from a language person’s point of view. In its second part, the paper discusses limitations of traditional record-based data models. The extensions proposed are intended for compound data object definition and manipulation.

text

This paper is an extended version of work from [Schm84], [Lame84].

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Author information

Authors and Affiliations

  1. Fachbereich Informatik, Johann Wolfgang Goethe-Universität, Frankfurt am Main, Germany

    Joachim W. Schmidt

  2. Fachbereich Informatik, Universität Hamburg, Hamburg, Germany

    Winfried Lamersdorf

  3. IBM Heidelberg, Scientific Center, Germany

    Winfried Lamersdorf

Authors
  1. Joachim W. Schmidt
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  2. Winfried Lamersdorf
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Editor information

Editors and Affiliations

  1. Institute of Mathematics and Computer Science in Medicine, University of Hamburg, Martinistraße 52, 2000, Hamburg 20, Federal Republic of Germany

    Karl Heinz Höhne

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© 1986 Springer-Verlag Berlin Heidelberg

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Schmidt, J.W., Lamersdorf, W. (1986). Programming Support for Data-Intensive Applications. In: Höhne, K.H. (eds) Pictorial Information Systems in Medicine. NATO ASI Series, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82384-8_9

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  • DOI: https://doi.org/10.1007/978-3-642-82384-8_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82386-2

  • Online ISBN: 978-3-642-82384-8

  • eBook Packages: Springer Book Archive

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