We describe DysToPic, a theorem prover for the preferen- tial Description Logic ALC + Tmin .This is a nonmonotonic extension of standard ALC based on a typicality operator T, which enjoys a prefer- ential semantics. DysToPic is a multi-engine Prolog implementation of a labelled, two-phase tableaux calculus for ALC + Tmin whose basic idea is that of performing these two phases by different machines. The per- formances of DysToPic are promising, and significantly better than the ones of its predecessor PreDeLo 1.0 recently introduced.

A Multi-Engine Theorem Prover for a Description Logic of Typicality

GLIOZZI, Valentina;POZZATO, GIAN LUCA;
2015-01-01

Abstract

We describe DysToPic, a theorem prover for the preferen- tial Description Logic ALC + Tmin .This is a nonmonotonic extension of standard ALC based on a typicality operator T, which enjoys a prefer- ential semantics. DysToPic is a multi-engine Prolog implementation of a labelled, two-phase tableaux calculus for ALC + Tmin whose basic idea is that of performing these two phases by different machines. The per- formances of DysToPic are promising, and significantly better than the ones of its predecessor PreDeLo 1.0 recently introduced.
2015
14th Conference of the Italian Association for Artificial Intelligence (AI*IA 2015)
Ferrara
23-25 September 2015
AI*IA 2015, Advances in Artificial Intelligence - XIVth International Conference of the Italian Association for Artificial Intelligence, Ferrara, Italy, September 23-25, 2015, Proceedings.
Springer International Publishing
9336
164
178
978-3-319-24308-5
description logics, theorem proving, nonmonotonic reasoning
Giordano, Laura; Gliozzi, Valentina; Olivetti, Nicola; Pozzato, Gian Luca; Violanti, Luca
File in questo prodotto:
File Dimensione Formato  
AIIA2015_proof.pdf

Accesso riservato

Tipo di file: PREPRINT (PRIMA BOZZA)
Dimensione 425.16 kB
Formato Adobe PDF
425.16 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/2318/1526107
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact