扩展数据和本体论推理的良好基础语义

André Hernich, C. Kupke, Thomas Lukasiewicz, G. Gottlob
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引用次数: 32

摘要

Datalog的表达性扩展家族最近被引入,作为对本体进行查询应答的新范式,它捕获并扩展了几种常见的描述逻辑。它通过存在量化的规则头等特性扩展了plain Datalog,同时对规则语法进行了限制,从而实现了可判定性和可追溯性。本文继续对Datalog±进行研究。更准确地说,我们将良好基础语义(WFS)作为数据库环境中非单调正常程序的标准语义推广到唯一名称假设(UNA)下具有否定的Datalog±程序。我们证明了在标准WFS下,对于带否定的保守Datalog±,回答正常布尔连接查询是可判定的,并给出了该问题的精确复杂度结果,特别是PTIME (rep .)的完备性。, 2-EXPTIME)。(组合)复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Well-founded semantics for extended datalog and ontological reasoning
The Datalog± family of expressive extensions of Datalog has recently been introduced as a new paradigm for query answering over ontologies, which captures and extends several common description logics. It extends plain Datalog by features such as existentially quantified rule heads and, at the same time, restricts the rule syntax so as to achieve decidability and tractability. In this paper, we continue the research on Datalog±. More precisely, we generalize the well-founded semantics (WFS), as the standard semantics for nonmonotonic normal programs in the database context, to Datalog± programs with negation under the unique name assumption (UNA). We prove that for guarded Datalog± with negation under the standard WFS, answering normal Boolean conjunctive queries is decidable, and we provide precise complexity results for this problem, namely, in particular, completeness for PTIME (resp., 2-EXPTIME) in the data (resp., combined) complexity.
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CiteScore
4.40
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