On Knowledge Dependence in Weighted Description Logic

We study a family of operators (called 'Tooth' operators) that combine Description Logic concepts via weighted sums. These operators are intended to capture the notion of instances satisfy- ing "enough" of the concept descriptions given. We examine two variants of these operators: the "knowledge-independent" one, that evaluates the concepts with respect to the current interpretation, and the "knowledge-dependent" one that instead evaluates them with respect to a specified knowledge base, comparing and contrasting their properties. We furthermore discuss the connections between these operators and linear classification models.

Tipo Pubblicazione: 
Contributo in atti di convegno
Author or Creator: 
Pietro Galliani
Oliver Kutz
Daniele Porello
Guendalina Righetti
Nicolas Troquard
Source: 
{GCAI} 2019. Proceedings of the 5th Global Conference on Artificial Intelligence, Bozen/Bolzano, Italy, 17-19 September 2019, pp. 68–80, Bolzano, 17-19, September 2019
info:cnr-pdr/source/autori:Pietro Galliani, Oliver Kutz, Daniele Porello, Guendalina Righetti, Nicolas Troquard/congresso_nome:{GCAI} 2019. Proceedings of the 5th Global Conference on Artificial Intelligence, Bozen/Bolzano, Italy, 17-19 September 2019/
Date: 
2019
Resource Identifier: 
http://www.cnr.it/prodotto/i/413833
Language: 
Eng
ISTC Author: 
Ritratto di Daniele Porello
Real name: