In this paper we develop a concept aware multi-preferential semantics for dealing with typicality in description logics, where preferences are associated with concepts, starting from a collection of ranked TBoxes containing defeasible concept inclusions. Preferences are combined to define a preferential interpretation in which defeasible inclusions can be evaluated. The construction of the concept-aware multipreference semantics is related to Brewka’s framework for qualitative preferences. We exploit Answer Set Programming (in particular, asprin) to achieve defeasible reasoning under the multipreference approach for the lightweight description logic ξ$\mathcal L_ \bot ^ + $.

中文翻译：

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一种在概念感知的多优先轻量级 DL 中进行推理的 ASP 方法

在本文中，我们开发了一种概念感知多偏好语义，用于处理描述逻辑中的典型性，其中偏好与概念相关联，从包含可废止概念包含的排序 TBox 集合开始。组合偏好以定义可以评估可废止夹杂物的优先解释。概念感知多偏好语义的构建与 Brewka 的定性偏好框架有关。我们利用答案集编程（特别是，阿司匹林) 以实现轻量级描述逻辑 ξ 的多重偏好方法下的可废止推理$\mathcal L_ \bot ^ + $.