Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach

Autor:	Giordano, Laura, Dupré, Daniele Theseider
Rok vydání:	2021
Předmět:	Computer Science - Artificial Intelligence Computer Science - Logic in Computer Science I.2.4
Zdroj:	EPTCS 345, 2021, pp. 70-76
Druh dokumentu:	Working Paper
DOI:	10.4204/EPTCS.345.19
Popis:	Weighted knowledge bases for description logics with typicality have been recently considered under a "concept-wise" multipreference semantics (in both the two-valued and fuzzy case), as the basis of a logical semantics of Multilayer Perceptrons. In this paper we consider weighted conditional EL^bot knowledge bases in the two-valued case, and exploit ASP and asprin for encoding concept-wise multipreference entailment for weighted KBs with integer weights. Comment: In Proceedings ICLP 2021, arXiv:2109.07914. arXiv admin note: text overlap with arXiv:2012.13421
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2109.08286 Zobrazit plný text záznamu View this record from Arxiv