Enables semantic processing using semiotic rules for relating differing ontologies. Human ideas are represented as data which attempts to capture as much personalized detail as possible with the least amount of ambiguity.

Enables cultural and language mappings, processing, and storing of conventions for translations. It covers interpreting various user conventions, preferences and rules.

Enables glyph collections which may be icons, sprites, fonts, or handwriting.

Enables finding patterns, such as closest string matches, top candidates or other means to score proximity.

Enables time planning, estimating, and adjusting for clocks and calendars in different locales.

Handles all assets and management used to get answers.

Enables typography, ordering and placement of symbols into various space constraints, such as letters on a page.

Handles how to convert meaning into the appropriate context.

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