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An Expert System for Evaluating the `Knowledge Potential' of Databases
 

Summary: An Expert System for Evaluating the
`Knowledge Potential' of Databases
Stephen Potter and Stuart Aitken,
AIAI, University of Edinburgh, Edinburgh, United Kingdom
stephenp@aiai.ed.ac.uk
http://www.aiai.ed.ac.uk/
Abstract
Data Mining techniques can, under favourable conditions, extract
valuable knowledge from an organisation's databases. However, the
precise nature of these favourable conditions is poorly articulated,
and as a result organisations run the risk of instigating costly and
time-consuming data mining episodes upon inappropriate or
irrelevant data. In response to this problem, the authors have applied
expert systems technologies to the task of predicting the extent to
which a given database contains knowledge that is both valuable and
susceptible to mining. It is intended that this system will form a
component of a `knowledge auditing' method for appraising an
organisation's (existing and potential) knowledge resources. This
paper describes this application, along with some of the particular
issues surrounding its implementation, testing and delivery to

  

Source: Aitken, Stuart - Artificial Intelligence Applications Institute, School of Informatics, University of Edinburgh

 

Collections: Computer Technologies and Information Sciences