In this paper, we develop a many-valued semantics for the description logic LTLALC, a temporal extension of description logic ALC, based on Linear-time Temporal Logic (LTL). We add a typicality operator to represent defeasible properties, and discuss the use of the (many-valued) temporal conditional logic and of weighted KBs for explaining the dynamic behaviour of a network.

Many-valued Temporal Weighted Knowledge Bases with Typicality for Explainability

Botta M.;Esposito R.;
2024-01-01

Abstract

In this paper, we develop a many-valued semantics for the description logic LTLALC, a temporal extension of description logic ALC, based on Linear-time Temporal Logic (LTL). We add a typicality operator to represent defeasible properties, and discuss the use of the (many-valued) temporal conditional logic and of weighted KBs for explaining the dynamic behaviour of a network.
2024
39th Italian Conference on Computational Logic, CILC 2024
National Research Council of Italy, Roma, Italia
2024
CEUR Workshop Proceedings
CEUR-WS
3733
1
13
https://ceur-ws.org/Vol-3733/paper16.pdf
Explainability; Many-valued Description Logics; Preferential Logics; Temporal Logics
Alviano M.; Botta M.; Esposito R.; Giordano L.; Theseider Dupre D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2032231
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