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Condensed Representations for Inductive Logic Programming

Conference Paper Knowledge Representation

Abstract

When mining frequent Datalog queries, many queries will cover the same examples; i. e., they will be equivalent and hence, redundant. The equivalences can be due to the data set or to the regularities specified in the background theory. To avoid the generation of redundant clauses, we introduce various types of condensed representations. More specifically, we introduce delta-free and closed clauses, that are defined w. r. t. the data set, and semantically free and closed clauses, that take into account a logical background theory. A novel algorithm that employs these representations is also presented and experimentally evaluated on a number of benchmark problems in inductive logic programming.

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Context

Venue
International Conference on Principles of Knowledge Representation and Reasoning
Archive span
2002-2025
Indexed papers
1109
Paper id
1100393597087571928
v2026.09.13