Dyadic Existential Rules

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Theory and Practice of Logic Programming Pub Date : 2023-08-24 DOI:10.1017/s1471068423000327
GEORG GOTTLOB, MARCO MANNA, CINZIA MARTE
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Abstract

Abstract Existential rules form an expressive ${{\textsf{Datalog}}}$ -based language to specify ontological knowledge. The presence of existential quantification in rule-heads, however, makes the main reasoning tasks undecidable. To overcome this limitation, in the last two decades, a number of classes of existential rules guaranteeing the decidability of query answering have been proposed. Unfortunately, only some of these classes fully encompass ${{\textsf{Datalog}}}$ and, often, this comes at the price of higher computational complexity. Moreover, expressive classes are typically unable to exploit tools developed for classes exhibiting lower expressiveness. To mitigate these shortcomings, this paper introduces a novel general syntactic condition that allows us to define, systematically and in a uniform way, from any decidable class $\mathcal{C}$ of existential rules, a new class called ${{\textsf{Dyadic-}\mathcal{C}}}$ enjoying the following properties: ( i ) it is decidable; ( ii ) it generalizes ${{\textsf{Datalog}}}$ ; ( iii ) it generalizes $\mathcal{C}$ ; ( iv ) it can effectively exploit any reasoner for query answering over $\mathcal{C}$ ; and ( v ) its computational complexity does not exceed the highest between the one of $\mathcal{C}$ and the one of ${{\textsf{Datalog}}}$ .
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二元存在规则
存在规则形成一种富有表现力的基于${{\textsf{Datalog}} $的语言来指定本体知识。然而,存在量化在规则头中的存在,使得主要推理任务无法确定。为了克服这一限制,在过去的二十年中,已经提出了许多类保证查询回答的可判定性的存在规则。不幸的是,这些类中只有一部分完全包含${{\textsf{Datalog}}}$,而这通常是以更高的计算复杂度为代价的。此外,表达性类通常无法利用为表现出较低表达性的类开发的工具。为了减轻这些缺点,本文引入了一种新的通用语法条件,使我们能够系统地、统一地从存在规则的任意可判定类$\mathcal{C}$中定义一个新的类${{\textsf{Dyadic-}\mathcal{C}}}$,它具有以下性质:(1)可判定;(ii)泛化${{\textsf{Datalog}}}$;(iii)泛化$\mathcal{C}$;(iv)它可以有效地利用$\mathcal{C}$上的任何推理器进行查询应答;(v)其计算复杂度不超过$\mathcal{C}$与${\textsf{Datalog}}}$之间的最大值。
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来源期刊
Theory and Practice of Logic Programming
Theory and Practice of Logic Programming 工程技术-计算机:理论方法
CiteScore
4.50
自引率
21.40%
发文量
40
审稿时长
>12 weeks
期刊介绍: Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.
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