论文标题
带有整数的$ \ Mathcal {Alc} $的Exptime上限(扩展版)
An ExpTime Upper Bound for $\mathcal{ALC}$ with Integers (Extended Version)
论文作者
论文摘要
混凝土域,尤其是那些允许与数字值进行比较的域,长期以来一直被认为是描述逻辑(DLS)的非常理想的扩展,并且已经投入了重大努力来将其添加到通常的DLS中,同时保持了理由的复杂性。对于表现力的DL和一般Tbox的存在,对于一致性等标准推理任务,最通用的可决定性结果是针对所谓的$ω$加热域,这些域需要密集。尽管经常被视为高度理想的扩展,但支持整数或自然数的功能的非密集域仍然很大程度上开放。已经显示了具有非密度域的$ \ Mathcal {Alc} $的某些扩展的可确定性,但是现有结果依赖于强大的机械,不允许将任何基本界限推断出问题的复杂性。在本文中,我们研究了$ \ Mathcal {alc} $的扩展,并具有丰富的整数域,该域允许进行比较(在功能之间以及在单位编码的特征和常数之间),并证明可以使用自动机理论在单个指数时间内可以解决一致性,因此没有更高的质量复杂性,因此比标准$ \ Mathcal更高的compase $ \ \ \ \ ccal canc {alccal。我们的上限适用于DLS的某些扩展,具有从文献中知道的具体域,支持一般的Tbox,并允许沿普通(不一定是功能性)角色路径的值进行比较。
Concrete domains, especially those that allow to compare features with numeric values, have long been recognized as a very desirable extension of description logics (DLs), and significant efforts have been invested into adding them to usual DLs while keeping the complexity of reasoning in check. For expressive DLs and in the presence of general TBoxes, for standard reasoning tasks like consistency, the most general decidability results are for the so-called $ω$-admissible domains, which are required to be dense. Supporting non-dense domains for features that range over integers or natural numbers remained largely open, despite often being singled out as a highly desirable extension. The decidability of some extensions of $\mathcal{ALC}$ with non-dense domains has been shown, but existing results rely on powerful machinery that does not allow to infer any elementary bounds on the complexity of the problem. In this paper, we study an extension of $\mathcal{ALC}$ with a rich integer domain that allows for comparisons (between features, and between features and constants coded in unary), and prove that consistency can be solved using automata-theoretic techniques in single exponential time, and thus has no higher worst-case complexity than standard $\mathcal{ALC}$. Our upper bounds apply to some extensions of DLs with concrete domains known from the literature, support general TBoxes, and allow for comparing values along paths of ordinary (not necessarily functional) roles.