- AutorIn
- Rafael Peñaloza
- Veronika Thost
- Anni-Yasmin Turhan
- Titel
- Conjunctive Query Answering in Rough EL
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-795523
- Schriftenreihe
- LTCS-Report
- Bandnummer
- 14-04
- Erstveröffentlichung
- 2014
- DOI
- https://doi.org/10.25368/2022.206
- Abstract (EN)
- Rough Description Logics have recently been studied as a means for representing and reasoning with imprecise knowledge. Real-world applications need to exploit reasoning over such knowledge in an efficient way. We describe how the combined approach to query answering can be extended to the rough setting. In particular, we extend both the canonical model and the rewriting procedure such that rough queries over rough EL ontologies can be answered by considering this information alone.
- Freie Schlagwörter (DE)
- Subsumtion, EL-Konzept, Beschreibungslogik, kanonisches Modell
- Freie Schlagwörter (EN)
- subsumption, EL-concept, description logic, canonical model
- Klassifikation (DDC)
- 004
- Klassifikation (RVK)
- ST 136
- Publizierende Institution
- Technische Universität Dresden, Dresden
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-795523
- Veröffentlichungsdatum Qucosa
- 20.06.2022
- Dokumenttyp
- Bericht
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0