Attribute–value pair in the context of Content-Type


Attribute–value pair in the context of Content-Type

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⭐ Core Definition: Attribute–value pair

A name–value pair, also known as an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computer systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data. In such situations, all or part of the data model may be expressed as a collection of 2-tuples in the form <attribute name, value> with each element being an attribute–value pair. Depending on the particular application and the implementation chosen by programmers, attribute names may or may not be unique.

Common examples include JSON objects such as database records where a column maps to a stored value (e.g., usernamejohndoe), HTTP headers like Content-Type: text/html, and configuration files with settings expressed as settingType=1.

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Attribute–value pair in the context of Infobox

An infobox is a digital or physical table used to collect and present a subset of information about its subject, such as a document. It is a structured document containing a set of attribute–value pairs, and in Wikipedia represents a summary of information about the subject of an article. In this way, they are comparable to data tables in some aspects. When presented within the larger document it summarizes, an infobox is often presented in a sidebar format.

An infobox may be implemented in another document by transcluding it into that document and specifying some or all of the attribute–value pairs associated with that infobox, known as parameterization.

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Attribute–value pair in the context of Associative array

In computer science, an associative array, key-value store, map, symbol table, or dictionary is an abstract data type that stores a collection of key/value pairs, such that each possible key appears at most once in the collection. In mathematical terms, an associative array is a function with finite domain. It supports 'lookup', 'remove', and 'insert' operations.

The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays.The two major solutions to the dictionary problem are hash tables and search trees.It is sometimes also possible to solve the problem using directly addressed arrays, binary search trees, or other more specialized structures.

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