The Expressive Power of Higher-Order Datalog

Author:

CHARALAMBIDIS ANGELOSORCID,NOMIKOS CHRISTOS,RONDOGIANNIS PANOS

Abstract

AbstractA classical result in descriptive complexity theory states that Datalog expresses exactly the class of polynomially computable queries on ordered databases (Papadimitriou 1985; Grädel 1992; Vardi 1982; Immerman 1986; Leivant 1989). In this paper we extend this result to the case of higher-order Datalog. In particular, we demonstrate that on ordered databases, for all k ≥ 2, k-order Datalog captures (k − 1)-EXPTIME. This result suggests that higher-order extensions of Datalog possess superior expressive power and they are worthwhile of further investigation both in theory and in practice.

Publisher

Cambridge University Press (CUP)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Hardware and Architecture,Theoretical Computer Science,Software

Reference18 articles.

1. Capturing complexity classes by fragments of second-order logic;Grädel;Theoretical Computer Science 101,1992

2. Descriptive characterizations of computational complexity;Leivant;Journal of Computer and System Science 39,1989

3. Lovrenčić, A. and Čubrilo, M. 1999. Amalgamation of heterogeneous data sources using amalgamated annotated hilog. In 3rd international IEEE Conference on Intelligent Engineering Systems (INES’99).

4. Papadimitriou, C. H. 1985. A note on the expressive power of prolog. Bulletin of the EATCS 26, 21–22.

5. Miller, D. and Nadathur, G. 1986. Higher-order logic programming. In Proceedings of the Third International Conference on Logic Programming (ICLP). 448–462.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Higher-Order MSL Horn Constraints;Proceedings of the ACM on Programming Languages;2023-01-09

2. Initial Limit Datalog: a New Extensible Class of Decidable Constrained Horn Clauses;2021 36th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS);2021-06-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3