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Semantic computability: A mechanism for the description of test data sets for scaleable information systems

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High-Performance Computing and Networking (HPCN-Europe 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1067))

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Abstract

This paper describes a mechanism, semantic computability, through which data can be described in such a way as to enable the automated creation of structured, scaleable data sets for performance evaluation. The approach is demonstrated with reference to the proposed Hungarian Social Security Database

This work was partially funded by EU Copernicus grant no. CP936638, “Large Parallel Databases” Project

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References

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Author information

Authors and Affiliations

  1. Sheffield Hallam University, Sheffield, UK

    C D Bates & I E Jelly

  2. Hungarian Academy of Sciences, Budapest, Hungary

    I Forgacs & E Szabo

  3. Napier University, Edinburgh, UK

    J M Kerridge

Authors
  1. C D Bates
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  2. I E Jelly
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  3. I Forgacs
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  4. E Szabo
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  5. J M Kerridge
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Editor information

Heather Liddell Adrian Colbrook Bob Hertzberger Peter Sloot

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© 1996 Springer-Verlag Berlin Heidelberg

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Bates, C.D., Jelly, I.E., Forgacs, I., Szabo, E., Kerridge, J.M. (1996). Semantic computability: A mechanism for the description of test data sets for scaleable information systems. In: Liddell, H., Colbrook, A., Hertzberger, B., Sloot, P. (eds) High-Performance Computing and Networking. HPCN-Europe 1996. Lecture Notes in Computer Science, vol 1067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61142-8_613

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  • DOI: https://doi.org/10.1007/3-540-61142-8_613

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61142-4

  • Online ISBN: 978-3-540-49955-8

  • eBook Packages: Springer Book Archive

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