Datafun: a functional Datalog

Author:

Arntzenius Michael1,Krishnaswami Neelakantan R.1

Affiliation:

1. University of Birmingham, UK

Abstract

Datalog may be considered either an unusually powerful query language or a carefully limited logic programming language. Datalog is declarative, expressive, and optimizable, and has been applied successfully in a wide variety of problem domains. However, most use-cases require extending Datalog in an application-specific manner. In this paper we define Datafun, an analogue of Datalog supporting higher-order functional programming. The key idea is to track monotonicity with types.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Software

Reference27 articles.

1. S. Abramsky and A. Jung. Domain theory. Handbook of logic in computer science 3:1–168 1994. S. Abramsky and A. Jung. Domain theory. Handbook of logic in computer science 3:1–168 1994.

2. Functional logic programming

3. Design and Implementation of the LogicBlox System

4. Magic sets and other strange ways to implement logic programs (extended abstract)

Cited by 18 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. The Relational Machine Calculus;Proceedings of the 39th Annual ACM/IEEE Symposium on Logic in Computer Science;2024-07-08

2. Flan: An Expressive and Efficient Datalog Compiler for Program Analysis;Proceedings of the ACM on Programming Languages;2024-01-05

3. Monotonicity and the Precision of Program Analysis;Proceedings of the ACM on Programming Languages;2024-01-05

4. Incrementalizing Production CodeQL Analyses;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

5. Communication-Avoiding Recursive Aggregation;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31

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