Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach
Artificial Intelligence
2021-09-20 v1 Logic in Computer Science
Abstract
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.
Cite
@article{arxiv.2109.08286,
title = {Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach},
author = {Laura Giordano and Daniele Theseider Dupré},
journal= {arXiv preprint arXiv:2109.08286},
year = {2021}
}
Comments
In Proceedings ICLP 2021, arXiv:2109.07914. arXiv admin note: text overlap with arXiv:2012.13421