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Semantic modelling of bivariate statistical tests

  • Paul A Golder
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 420)

Abstract

Various methods have been proposed for making statistical packages more intelligent. One method discussed in detail in this paper is to enrich the description of the data with the relevant semantic knowledge and equip the package to make use of this knowledge. This paper reports on a research project which explored in some details the structure of this metadata and the requirements of the processing modules. In particular the nature of knowledge needed to implement a range of bivariate statistical tests is examined and the features of the necessary software to validate these tests in a standard statistical package are described. The results of a prototype application of the method are also discussed.

Keywords

Domain Knowledge Semantic Modelling Entity Type Measurement Scheme Semantic Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Paul A Golder
    • 1
  1. 1.Computer Science DepartmentAston UniversityBirminghamUK

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