ABC Repair System for Datalog-like Theories

Xue Li, Alan Bundy, Alan Smaill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

This paper aims to develop a domain-independent system for repairing faulty Datalog-like theories by combining three existing techniques: abduction, belief revision and conceptual change. Accordingly, the proposed system is named the ABC repair system. Given an observed assertion and a current theory, abduction adds axioms which represent the simplest and most likely explanation. Belief revision incorporates a new piece of information which conflicts with the input theory by deleting axioms. Conceptual change uses the reformation algorithm for blocking unwanted proofs or unblocking wanted proofs. The former two techniques change an axiom as a whole, while reformation changes the language in which the theory is written. These three techniques are complementary: abduction adds new axioms, belief revision deletes conflicting axioms, while reformation changes the language of the theory. But they have not previously been combined into one system. We are working on aligning these three techniques in the ABC repair system, which is capable of repairing logical theories with better quality than individual techniques. Datalog is used as the underlying logic of theories in this paper, but the proposed system has the potential to be adapted to theories in other logics.
Original languageEnglish
Title of host publication10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Place of PublicationSeville, Spain
Number of pages8
ISBN (Print)978-989-758-330-8
Publication statusPublished - Sept 2018
Event10th International Conference on Knowledge Engineering and Ontology Development - Seville, Spain
Duration: 18 Sept 201820 Sept 2018

Publication series

ISSN (Electronic)2184-3228


Conference10th International Conference on Knowledge Engineering and Ontology Development
Abbreviated titleKEOD 2018
Internet address


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