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Knowledge and Information Systems

, Volume 7, Issue 2, pp 224–245 | Cite as

A quantitative analysis of the robustness of knowledge-based systems through degradation studies

  • Perry GrootEmail author
  • Annette ten Teije
  • Frank van Harmelen
Article

Abstract

The overall aim of this paper is to provide a general setting for quantitative quality measures of knowledge-based system behaviour that is widely applicable to many knowledge-based systems. We propose a general approach that we call degradation studies: an analysis of how system output changes as a function of degrading system input, such as incomplete or incorrect data or knowledge. To show the feasibility of our approach, we have applied it in a case study. We have taken a large and realistic vegetation-classification system, and have analysed its behaviour under various varieties of incomplete and incorrect input. This case study shows that degradation studies can reveal interesting and surprising properties of the system under study.

Keywords

Quantitative analysis Knowledge-based systems Robust behaviour Validation 

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Copyright information

© Springer-Verlag 2004

Authors and Affiliations

  • Perry Groot
    • 1
    Email author
  • Annette ten Teije
    • 1
  • Frank van Harmelen
    • 1
  1. 1.Division of Mathematics and Computer Science, Faculty of SciencesVrije UniversiteitAmsterdamThe Netherlands

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