Skip to Main Content (Press Enter)

Logo UNINSUBRIA
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze

UNI-FIND
Logo UNINSUBRIA

|

UNI-FIND

uninsubria.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Attività
  • Competenze
  1. Pubblicazioni

Reasoning on DL-Lite_R with Defeasibility in ASP

Contributo in Atti di convegno
Data di Pubblicazione:
2019
Abstract:
Reasoning on defeasible knowledge is a topic of interest in the area of description logics, as it is related to the need of representing exceptional instances in knowledge bases. In this direction, in our previous works we presented a framework for representing (contextualized) OWL RL knowledge bases with a notion of justified exceptions on defeasible axioms: reasoning in such framework is realized by a translation into ASP programs. The resulting reasoning process for OWL RL, however, introduces a complex encoding in order to capture reasoning on the negative information needed for reasoning on exceptions. In this paper, we apply the justified exception approach to knowledge bases in DL-Lite_R , i.e. the language underlying OWL QL. We provide a definition for DL-Lite_R knowledge bases with defeasible axioms and study their semantic and computational properties. The limited form of DL-Lite_R axioms allows us to formulate a simpler encoding into ASP programs, where reasoning on negative information is managed by direct rules. The resulting materialization method gives rise to a complete reasoning procedure for instance checking in DL-Lite_R with defeasible axioms.
Tipologia CRIS:
Relazione (in Volume)
Elenco autori:
Bozzato, Loris; Eiter, Thomas; Serafini, Luciano
Autori di Ateneo:
BOZZATO LORIS
Link alla scheda completa:
https://irinsubria.uninsubria.it/handle/11383/2185476
Titolo del libro:
Rules and Reasoning - Third International Joint Conference, RuleML+RR 2019, Bolzano, Italy, September 16-19, 2019, Proceedings
Pubblicato in:
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Journal
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
Series
  • Dati Generali

Dati Generali

URL

https://doi.org/10.1007/978-3-030-31095-0_2
  • Accessibilità
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0