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Sorted Downward Refinement: Building Background Knowledge into a Refinement Operator for Inductive Logic Programming

Alan M. FrischContact Information

(3)  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.

Contact Information Alan M. Frisch
Email: frisch@cs.york.ac.uk
URL: http://www.cs.york.ac.uk/~frisch
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Referenced by
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  1. LISI, FRANCESCA A. (2008) Building Rules on Top of Ontologies for the Semantic Web with Inductive Logic Programming. Theory and Practice of Logic Programming 8(3)
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