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Logic and the Automatic Acquisition of Scientific Knowledge.

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): nr 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.

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1999-12-21 		Postscript Checksum
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