当前位置: X-MOL 学术arXiv.cs.LO › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Weighted Conditional EL{^}bot Knowledge Bases with Integer Weights: an ASP Approach
arXiv - CS - Logic in Computer Science Pub Date : 2021-09-17 , DOI: arxiv-2109.08286
Laura GiordanoDISIT, Università del Piemonte Orientale, Italy, Daniele Theseider DupréDISIT, Università del Piemonte Orientale, Italy

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.

中文翻译:

带整数权重的加权条件 EL{^}bot 知识库:一种 ASP 方法

具有典型性的描述逻辑的加权知识库最近在“概念”多偏好语义(在二值和模糊情况下)下被视为多层感知器的逻辑语义的基础。在本文中,我们考虑了二值情况下的加权条件 EL^bot 知识库,并利用 ASP 和 asprin 对具有整数权重的加权 KB 的概念性多偏好蕴涵进行编码。
更新日期:2021-09-20
down
wechat
bug