We describe PreDeLo 1.0, a theorem prover for preferential Description Logics (DLs). These are nonmonotonic extensions of standard DLs based on a typicality operatorT, which enjoys a preferential semantics. PreDeLo 1.0 is a Prolog implementation of labelled tableaux calculi for such extensions, and it is able to deal with the preferential extension of the basic DL ALC as well as with the preferential extension of the lightweight DL DL-Litecore . The Prolog implementation is inspired by the "lean" methodology, whose basic idea is that each axiom or rule of the tableaux calculi is implemented by a Prolog clause of the program. Concerning ALC, PreDeLo 1.0 considers two extensions based, respectively, on Kraus, Lehmann and Magidor's preferential and rational entailment. In this paper, we also introduce a tableaux calculus for checking entailment in the rational extension of ALC. © Springer International Publishing Switzerland 2013.

PreDeLo 1.0: a Theorem Prover for Preferential Description Logics

GLIOZZI, Valentina;POZZATO, GIAN LUCA
2013-01-01

Abstract

We describe PreDeLo 1.0, a theorem prover for preferential Description Logics (DLs). These are nonmonotonic extensions of standard DLs based on a typicality operatorT, which enjoys a preferential semantics. PreDeLo 1.0 is a Prolog implementation of labelled tableaux calculi for such extensions, and it is able to deal with the preferential extension of the basic DL ALC as well as with the preferential extension of the lightweight DL DL-Litecore . The Prolog implementation is inspired by the "lean" methodology, whose basic idea is that each axiom or rule of the tableaux calculi is implemented by a Prolog clause of the program. Concerning ALC, PreDeLo 1.0 considers two extensions based, respectively, on Kraus, Lehmann and Magidor's preferential and rational entailment. In this paper, we also introduce a tableaux calculus for checking entailment in the rational extension of ALC. © Springer International Publishing Switzerland 2013.
2013
Inglese
contributo
1 - Conferenza
AI*IA 2013 - XIIIth International Conference of the Italian Association for Artificial Intelligence
Torino
December 2013
Internazionale
Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio
Matteo Baldoni, Cristina Baroglio, Guido Boella, Roberto Micalizio
Proceedings of AI*IA 2013
Esperti anonimi
Springer
Cham
SVIZZERA
8249
60
72
13
978-331903523-9
https://link.springer.com/chapter/10.1007/978-3-319-03524-6_6
FRANCIA
SVIZZERA
1 – prodotto con file in versione Open Access (allegherò il file al passo 6 - Carica)
5
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
L. Giordano; V. Gliozzi; A. Jalal; N. Olivetti; G.L. Pozzato
273
reserved
File in questo prodotto:
File Dimensione Formato  
AIIA2013 proofs official_4aperto.pdf

Accesso riservato

Tipo di file: POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione 461.84 kB
Formato Adobe PDF
461.84 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/139931
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact