ABC Repair System for Datalog-like Theories

Xue Li, Alan Bundy, Alan Smaill

2018

Abstract

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. From the three repair technique candidates, 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 input theory by deleting old axioms from the input theory. 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.

Paper Citation

in Harvard Style

Li X., Bundy A. and Smaill A. (2018). ABC Repair System for Datalog-like Theories. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD; ISBN 978-989-758-330-8, SciTePress, pages 335-342. DOI: 10.5220/0006959703350342

in Bibtex Style

@conference{keod18,
author={Xue Li and Alan Bundy and Alan Smaill},
title={ABC Repair System for Datalog-like Theories},
booktitle={Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD},
year={2018},
pages={335-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006959703350342},
isbn={978-989-758-330-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018) - Volume 2: KEOD
TI - ABC Repair System for Datalog-like Theories
SN - 978-989-758-330-8
AU - Li X.
AU - Bundy A.
AU - Smaill A.
PY - 2018
SP - 335
EP - 342
DO - 10.5220/0006959703350342
PB - SciTePress