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URL encoding, officially known as percent-encoding, is a method to encode arbitrary data in a uniform resource identifier (URI) using only the US-ASCII characters legal within a URI. Although it is known as URL encoding , it is also used more generally within the main Uniform Resource Identifier (URI) set, which includes both Uniform Resource ...
A query string is a part of a uniform resource locator (URL) that assigns values to specified parameters. A query string commonly includes fields added to a base URL by a Web browser or other client application, for example as part of an HTML document, choosing the appearance of a page, or jumping to positions in multimedia content.
A common media type parameter is charset, specifying the character set of the media type, where the value is from the IANA list of character set names. [6] If one is not specified, the media type of the data URI is assumed to be text/plain;charset=US-ASCII. An optional base64 extension base64, separated from the preceding part by a semicolon.
If URLs in citation template parameters contain certain characters, then they will not display and link correctly. Those characters need to be percent-encoded. For example, a space must be replaced by %20. To encode the URL, replace the following characters with:
The following normalizations are described in RFC 3986 [1] to result in equivalent URIs: . Converting percent-encoded triplets to uppercase. The hexadecimal digits within a percent-encoding triplet of the URI (e.g., %3a versus %3A) are case-insensitive and therefore should be normalized to use uppercase letters for the digits A-F. [2] Example:
Content-Encoding: The type of encoding used on the data. See HTTP compression. Content-Encoding: gzip: Permanent RFC 9110: Content-Language: The natural language or languages of the intended audience for the enclosed content [52] Content-Language: da: Permanent RFC 9110: Content-Length: The length of the response body in octets (8-bit bytes ...
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An "encoding sniffing algorithm" is defined in the specification to determine the character encoding of the document based on multiple sources of input, including: Explicit user instruction; An explicit meta tag within the first 1024 bytes of the document; A byte order mark (BOM) within the first three bytes of the document