Signature-Based Abduction with Fresh Individuals and Complex Concepts for Description Logics

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Contributors

Abstract

Given a knowledge base and an observation as a set of facts, ABox abduction aims at computing a hypothesis that, when added to the knowledge base, is sufficient to entail the observation. In signature-based ABox abduction, the hypothesis is further required to use only names from a given set. This form of abduction has applications such as diagnosis, KB repair, or explaning missing entailments. It is possible that hypotheses for a given observation only exist if we admit the use of fresh individuals and/or complex concepts built from the given signature, something most approaches for ABox abduction so far do not allow or only allow with restrictions. In this paper, we investigate the computational complexity of this form of abduction---allowing either fresh individuals, complex concepts, or both---for various description logics, and give size bounds on the hypotheses if they exist.

Details

Original languageEnglish
Title of host publicationProceedings of the Thirtieth International Joint Conference on Artificial Intelligence Main Track
PublisherAAAI Press
Pages1929-1935
Number of pages7
ISBN (electronic)9780999241196
Publication statusPublished - 2021
Peer-reviewedYes

External IDs

Scopus 85120642096

Keywords

ASJC Scopus subject areas