Human Markup Language
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Human Markup Language (also HumanML and, within the context of a HumanML document, huml) is an
XML Extensible Markup Language (XML) is a markup language and file format for storing, transmitting, and reconstructing arbitrary data. It defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. T ...
specification developed to contextually describe physical, kinesic, cultural, and social information about instances of human communication. Development by
OASIS In ecology, an oasis (; ) is a fertile area of a desert or semi-desert environment'ksar''with its surrounding feeding source, the palm grove, within a relational and circulatory nomadic system.” The location of oases has been of critical imp ...
began in 2001,Thunga, Rajneeth Kumar & Karl Best
Call for Support
and HumanML committee members released a ''Human Markup Language Primary Base Specification 1.0'' in late 2002.Brooks, Rex, ed


Purpose

HumanML was proposed to "fundamentally enhance the human communications process, through the use of XML, with the purpose of ending human misunderstanding". It addresses this purpose by standardizing the presentation of details relevant to communicative acts. Such details may be social, contextual, gestural, or psychological, and may pertain to an individual in an act of communication or to the context of that communication. For example, just as Internet users may use emoticons ("smileys") to convey emotional information relevant to their essentially textual communication, HumanML codes the emotional importance and intent of a signal in a series of markup tags. The standard aims to provide an arbitrarily detailed way to represent information pertinent to any act of communication.


See also

*
Emotion Markup Language An Emotion Markup Language (EML or EmotionML) has first been defined by the W3C Emotion Incubator Group (EmoXG) as a general-purpose emotion annotation and representation language, which should be usable in a large variety of technological context ...


References

* Peltz, Jay
HumanML: The Vision
''DM Direct'', July 2005. * Pena, Bill

ONLamp.com. O'Reilly: 8 September 2001. Markup languages {{compu-lang-stub