Inconsistency- and Error-Tolerant Reasoning w.r.t. ℰℒ Ontologies

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Abstract

Errors in knowledge bases (KBs) written in a Description Logic (DL) are usually detected when reasoning derives an inconsistency or a consequence that does not hold in the application domain modelled by the KB. Whereas classical repair approaches produce maximal subsets of the KB not implying the inconsistency or unwanted consequence, optimal repairs maximize the consequence sets. In this paper, we extend previous results on how to compute optimal repairs from the DL 𝓔𝓛 to its extension 𝓔𝓛⊥, which in contrast to 𝓔𝓛 can express inconsistency. The problem of how to deal with inconsistency in the context of optimal repairs was addressed previously, but in a setting where the (fixed) terminological part of the KB must satisfy a restriction on cyclic dependencies. Here, we consider a setting where this restriction is not required. We also show how the notion of optimal repairs obtained this way can be used in inconsistency- and error-tolerant reasoning.

Details

OriginalspracheEnglisch
TitelProceedings of the 13th International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2024), April 8-11, 2024, Sheffield, United Kingdom
Redakteure/-innenArne Meier, Magdalena Ortiz
Seiten3-22
Seitenumfang20
Band14589
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Publikationsreihe

ReiheLecture Notes in Computer Science

Externe IDs

Scopus 85190702279
dblp conf/foiks/BaaderKN24
Mendeley 671817fa-5b05-3cb1-a53a-937144cf498b
ORCID /0000-0003-0219-0330/work/159607637
ORCID /0000-0002-4049-221X/work/159608032
ORCID /0000-0002-9047-7624/work/159608188

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