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Tractable Extensions of the Description Logic SC with Numerical Datatypes

机译:具有数字数据类型的描述逻辑SC的可扩展性

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摘要

We consider extensions of the lightweight description logic (DL) SC with numerical datatypes such as naturals, integers, rationals and reals equipped with relations such as equality and inequalities. It is well-known that the main reasoning problems for such DLs are decidable in polynomial time provided that the datatypes enjoy the so-called convexity property. Unfortunately many combinations of the numerical relations violate convexity, which makes the usage of these datatypes rather limited in practice. In this paper, we make a more fine-grained complexity analysis of these DLs by considering restrictions not only on the kinds of relations that can be used in ontologies but also on their occurrences, such as allowing certain relations to appear only on the left-hand side of the axioms. To this end, we introduce a notion of safety for a numerical datatype with restrictions (NDR) which guarantees tractability, extend the SC reasoning algorithm to these cases, and provide a complete classification of safe NDRs for natural numbers, integers, rationals and reals.
机译:我们考虑将轻量级描述逻辑(DL)SC扩展为带有自然数,整数,有理数和实数的数字数据类型,这些数据类型具有等式和不等式的关系。众所周知,只要数据类型具有所谓的凸性,就可以在多项式时间内确定此类DL的主要推理问题。不幸的是,数值关系的许多组合都违反了凸性,这使得这些数据类型的使用在实践中受到了很大的限制。在本文中,我们不仅考虑对可用于本体的关系的限制,还考虑对它们的出现的限制,例如允许某些关系仅出现在左侧,从而对这些DL进行更细粒度的复杂性分析。手侧的公理。为此,我们引入了具有约束力的数字数据类型(NDR)的安全性概念,以保证可处理性,将SC推理算法扩展到这些情况,并为自然数,整数,有理数和实数提供完整的安全NDR分类。

著录项

  • 来源
    《Journal of Automated Reasoning》 |2011年第4期|p.427-450|共24页
  • 作者单位

    Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK;

    Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK;

    Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford, OX1 3QD, UK;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    description logic; computational complexity; datatypes;

    机译:描述逻辑;计算复杂度;数据类型;

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