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Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming
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Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming
Alan M. Frisch3 
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Intelligent Systems Group, Department of Computer Science, University of York, York, YO10 5DD, UK |
Abstract
Since its inception, the field of inductive logic programming has been centrally concerned with the use of background knowledge
in induction. Yet, surprisingly, no serious attempts have been made to account for background knowledge in refinement operators
for clauses, even though such operators are one of the most important, prominent and widely-used devices in the field. This
paper shows how a sort theory, which encodes taxonomic knowledge, can be built into a downward, subsumption-based refinement
operator for clauses.
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