{"title":"Datafun: a functional Datalog","authors":"Michael Arntzenius, N. Krishnaswami","doi":"10.1145/2951913.2951948","DOIUrl":null,"url":null,"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.","PeriodicalId":336660,"journal":{"name":"Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2951913.2951948","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33
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.