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Erschienen in:
2008 | OriginalPaper | Buchkapitel
TopLog: ILP Using a Logic Program Declarative Bias
verfasst von : Stephen H. Muggleton, José Carlos Almeida Santos, Alireza Tamaddoni-Nezhad
Erschienen in: Logic Programming
Verlag: Springer Berlin Heidelberg
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This paper introduces a new Inductive Logic Programming (ILP) framework called Top Directed Hypothesis Derivation (TDHD). In this framework each hypothesised clause must be derivable from a given logic program called top theory (⊤). The top theory can be viewed as a declarative bias which defines the hypothesis space. This replaces the metalogical mode statements which are used in many ILP systems. Firstly we present a theoretical framework for TDHD and show that standard SLD derivation can be used to efficiently derive hypotheses from ⊤. Secondly, we present a prototype implementation of TDHD within a new ILP system called TopLog. Thirdly, we show that the accuracy and efficiency of TopLog, on several benchmark datasets, is competitive with a state of the art ILP system like Aleph.