Reasoning on defeasible knowledge is a topic of interest in the area of description logics, as it is related to the need of representing exceptional instances in knowledge bases. In this direction, in our previous works we presented a framework for representing (contextualized) OWL RL knowledge bases with a notion of justified exceptions on defeasible axioms: reasoning in such framework is realized by a translation into ASP programs. The resulting reasoning process for OWL RL, however, introduces a complex encoding in order to capture reasoning on the negative information needed for reasoning on exceptions. In this paper, we apply the justified exception approach to knowledge bases in $\textit{DL-Lite}_{\cal R}$, i.e., the language underlying OWL QL. We provide a definition for $\textit{DL-Lite}_{\cal R}$ knowledge bases with defeasible axioms and study their semantic and computational properties. In particular, we study the effects of exceptions over unnamed individuals. The limited form of $\textit{DL-Lite}_{\cal R}$ axioms allows us to formulate a simpler ASP encoding, where reasoning on negative information is managed by direct rules. The resulting materialization method gives rise to a complete reasoning procedure for instance checking in $\textit{DL-Lite}_{\cal R}$ with defeasible axioms. Under consideration in Theory and Practice of Logic Programming (TPLP).
翻译:在描述逻辑方面,知识失灵是一个值得关注的话题,因为它关系到在知识库中代表特殊案例的必要性。在这个方向上,我们在先前的著作中提出了一个代表OWL RL知识库的框架,其中含有对不可行轴心的合理例外概念:这种框架中的推理是通过翻译成ASP程序来实现的。因此,OWL RL的推理过程引入了一个复杂的编码,以便捕捉关于例外推理所需负面信息的推理。在本文中,我们对以美元(textit{DL-Lite ⁇ cal R}$(即OWL QL)为基础的语言知识库应用了合理的例外方法。我们提供了一种定义,用美元(textit{DL-Lite ⁇ cal R}) 知识库的推理,而将美元(textlicrial{L-L_Qal’R} 的推理学, 使得我们能够用一个完整的R-Lxical 逻辑来进行一个负面推理学。