Title: Logic and the Automatic Acquisition of Scientific Knowledge
Authors: Ross Donald King, Andreas Karwath, Amanda Clare, and Luc Dehaspe
Series: Linköping Electronic Articles in Computer and Information Science
ISSN 1401-9841
Issue: Vol. 5 (2000), No. 031
URL: http://www.ep.liu.se/ea/cis/2000/031/

Abstract: This paper is a manifesto. It argues that:
  • Science is experiencing an unprecedented explosion in the amount of available data.
  • Traditional data analysis methods cannot deal with this increased quantity of data.
  • There is therefore an urgent need to automate the process of refining scientific data into scientific knowledge.
  • Inductive logic programming (ILP) is the data analysis framework best suited for this task.

We describe an example of using ILP to analyse a large and complex bioinformatic database which produced unexpected and interesting scientific results. We then point a possible way forward to integrating machine learning with scientific databases to form intelligent inductive databases.


Original publication
2000-12-21
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