DFKI Research Report-92-38

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RR-92-38



Language: English

by Philipp Hanschke, Manfred Meyer

An Alternative to Theta-Subsumption Based on Terminological Reasoning

9 Pages

Abstract

Clause subsumption and rule ordering are long-standing research topics in machine learning (ML). Since logical implication can be reduced to rule-subsumption, the general subsumption problem for Horn clauses is undecidable [Plotkin, 1971b]. In this paper we suggest an alternative knowledge-representation formalism for ML that is based on a terminological logic. It provides a decidable rule-ordering which is at least as powerful as Theta-subsumption.

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DFKI-Bibliothek (bib@dfki.uni-kl.de)

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