- AutorIn
- Franz Baader Theoretical Computer Science, Technische Universität Dresden, Dresden, Germany#Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)
- Francesco KriegelTheoretical Computer Science, Technische Universität Dresden, Dresden, Germany#Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI)
- Adrian NuradiansyahTheoretical Computer Science, Technische Universität Dresden, Dresden, Germany
- Titel
- Inconsistency- and Error-Tolerant Reasoning w.r.t. Optimal Repairs of EL⊥ Ontologies
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-896486
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 24-02
- Auflage
- extended version
- Erstveröffentlichung
- 2024
- DOI
- https://doi.org/10.25368/2024.6
- Abstract (EN)
- 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.
- Freie Schlagwörter (DE)
- Wissensdatenbank, Fehler, Inkonsistenz, Reparatur
- Freie Schlagwörter (EN)
- knowledge base, error, inconsistency, repair
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Herausgeber (Institution)
- Technische Universität Dresden
- Förder- / Projektangaben
- Deutsche Forschungsgemeinschaft Repairing Description Logic Ontologies
ID: 430150274 - Deutsche Forschungsgemeinschaft (TRR 248: Foundations of Perspicuous Software Systems)
ID: 389792660 - Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-896486
- Veröffentlichungsdatum Qucosa
- 12.02.2024
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0