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

  • Date:

    31 December 1996

  • Publication Status:

    Published

  • Publisher

    Springer Berlin Heidelberg

  • DOI:

    10.1007/3-540-61142-8_613

  • ISSN:

    0302-9743

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Edinburgh Napier Funded

Citation

Bates, C., Jelly, I., Forgacs, I., Szabo, E., & Kerridge, J. (1996). Semantic computability: A mechanism for the description of test data sets for scaleable information systems. In H. Liddell, A. Colbrook, B. Hertzberger, & P. Sloot (Eds.), High-Performance Computing and Networking International Conference and Exhibition HPCN EUROPE 1996 Brussels, Belgium, April 15–19, 1996 Proceedings. , (677-682). https://doi.org/10.1007/3-540-61142-8_613

Authors

Keywords

semantic computability; automation; structured data; data sets

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