Towards Practical ABox Abduction in Large OWL DL Ontologies

Jianfeng Du, Guilin Qi, Yi-Dong Shen, Jeff Pan

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

Abstract / Description of output

ABox abduction is an important aspect for abductive reasoning in Description Logics (DLs). It finds all minimal sets of ABox axioms that should be added to a background ontology to enforce entailment of a specified set of ABox axioms. As far as we know, by now there is only one ABox abduction method in expressive DLs computing abductive solutions with certain minimality. However, the method targets an ABox abduction problem that may have infinitely many abductive solutions and may not output an abductive solution in finite time. Hence, in this paper we propose a new ABox abduction problem which has only finitely many abductive solutions and also propose a novel method to solve it. The method reduces the original problem to an abduction problem in logic programming and solves it with Prolog engines. Experimental results show that the method is able to compute abductive solutions in benchmark OWL DL ontologies with large ABoxes.
Original languageEnglish
Title of host publicationProceedings of the AAAI Conference on Artificial Intelligence 2011, Volume 25 (1)
PublisherAAAI Press
Pages1160-1165
Number of pages6
Volume25
ISBN (Print)978-1-57735-507-6
Publication statusPublished - 4 Aug 2011
EventTwenty-Fifth AAAI Conference on Artificial Intelligence - San Francisco, United States
Duration: 7 Aug 201111 Aug 2011
Conference number: 25

Publication series

NameProceedings of the AAAI Conference on Artificial Intelligence
Number1
Volume25
ISSN (Print)2159-5399
ISSN (Electronic)2374-3468

Conference

ConferenceTwenty-Fifth AAAI Conference on Artificial Intelligence
Abbreviated titleAAAI 2011
Country/TerritoryUnited States
CitySan Francisco
Period7/08/1111/08/11

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