We describe a way of representing polymorphic extensible records in statically typed programming languages that optimizes memory allocation, access and creation, rather than polymorphic extension.

Records provide a safe and flexible way to construct data structures. We describe a natural approach to typing polymorphic and extensible records that is simple, easy to use in practice, and straightforward to implement. A novel aspect of this work is that records can contain duplicate labels

of Haskell 98 with a more exible system of records that avoids the problems mentioned above. With a theoretical foundation in the earlier work of Gaster and Jones, our system o ers lightweight, extensible records and a complement of polymorphic operations for manipulating them. On a more concrete level, our

Abstract Early versions of Haskell provied only a positional notation to build and take apart user-defined datatypes. This positional notation is awkward and error-prone when dealing with datatypes that have more than a couple of components, so later versions of Haskell introduced a mechanism for labeled fields that allows components to be set and extracted by name. While this has been useful in practice, it also has several significant problems; for example, no field name can be used in more than one datatype.

An important feature of an Experimental Physics and Industrial Control System (EPICS)-based input/output controller (IOC) is extensible record and device support. This feature allows each site to add custom record types and device support. This paper discusses the current implementation and also

accurate types for key operations. This paper describes a new type system that remedies these problems: it supports extensible records and variants, with a full complement of polymorphic operations on each; and it offers an effective type inference algorithm and a simple compilation method. It is a

Extensible records were introduced by Mitchell Wand while studying type inference in a polymorphic λ-calculus with record types. This paper describes a calculus with extensible records, F <:ρ, that can be translated into a simpler calculus, F <: , lacking any record primitives. Given

of standard formats, or any combination of these factors. In this paper, we present a thorough analysis of the literature on duplicate record detection. We cover similarity metrics that are commonly used to detect similar field entries, and we present an extensive set of duplicate detection algorithms

AbstractExtensible records were introduced by Mitchell Wand while studying type inference in a polymorphic l-calculus with record types. This paperdescribes a calculus with extensible records, F <:r, that can be translatedinto a simpler calculus, F <:, lacking any record primitives

Antarctica has allowed the extension of the ice record of atmospheric composition and climate to the past four glacial-interglacial cycles. The succession of changes through each climate cycle and termination was similar, and atmospheric and climate properties oscillated between stable bounds