Inductive Logic Programming
Author(s) -
Jaime Carbonell,
Jörg Siekmann,
Rui Camacho,
Ross D. King,
Ashwin Srinivasan
Publication year - 2004
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/b10011
Subject(s) - computer science , programming language , logic programming
In this paper we face the coverage problem in the context of learning in the hybrid language Aℒ-log. Here candidate hypotheses are represented as DATALOG clauses with variables constrained by assertions in the description logic AℒC. Regardless of the scope of induction we define coverage relations for Aℒ-log in the two logical settings of learning from implications and learning from interpretations. Also, with reference to the ILP system Aℒ-QUIN, we discuss our solutions to the algorithmic and implementation issues raised by the coverage test for the setting of characteristic induction from interpretations in Aℒ-log
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