In this work we describe GOCCIOLA (Generating knOwledge by Concept Combination In descriptiOn Logics of typicAlity), a tool for the dynamic generation of novel knowledge by exploiting a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts. Given a goal expressed as a set of properties, in case an intelligent agent cannot find a concept in its initial knowledge base able to fulfill all these properties, GOCCIOLA exploits the Description Logic TCL in order to find two concepts whose creative combination satisfies the goal. The knowledge base of the agent is then extended by the prototype resulting from the concept combination, and the combined concept represents the solution for the initial goal. We have tested GOCCIOLA on some paradigmatic examples in the literature of automatic generation of knowledge, and we have shown that it seems to be a promising instrument to tackle the problem of implementing a dynamic generation of novel knowledge obtained through a process of commonsense reasoning.

GOCCIOLA: Generating new knowledge by combining concepts in description logics of typicality

Lieto A.;Pozzato G. L.
2019-01-01

Abstract

In this work we describe GOCCIOLA (Generating knOwledge by Concept Combination In descriptiOn Logics of typicAlity), a tool for the dynamic generation of novel knowledge by exploiting a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts. Given a goal expressed as a set of properties, in case an intelligent agent cannot find a concept in its initial knowledge base able to fulfill all these properties, GOCCIOLA exploits the Description Logic TCL in order to find two concepts whose creative combination satisfies the goal. The knowledge base of the agent is then extended by the prototype resulting from the concept combination, and the combined concept represents the solution for the initial goal. We have tested GOCCIOLA on some paradigmatic examples in the literature of automatic generation of knowledge, and we have shown that it seems to be a promising instrument to tackle the problem of implementing a dynamic generation of novel knowledge obtained through a process of commonsense reasoning.
2019
Inglese
contributo
1 - Conferenza
34th Italian Conference on Computational Logic, CILC 2019
Trieste (Italia)
2019
Internazionale
CEUR Workshop Proceedings
Esperti anonimi
CEUR-WS
Trieste
ITALIA
2396
157
166
10
http://ceur-ws.org/Vol-2396/paper18.pdf
no
3 – prodotto con deroga per i casi previsti dal Regolamento (allegherò il modulo al passo 5-Carica)
3
info:eu-repo/semantics/conferenceObject
04-CONTRIBUTO IN ATTI DI CONVEGNO::04A-Conference paper in volume
Lieto A.; Perrone F.; Pozzato G.L.
273
open
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1727005
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