Mapping working example: Difference between revisions
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Revision as of 11:34, 26 May 2020
Manually mapping hundreds of fields and values can be extremely laborious and prone to error.
Mapping suggestion algorithms offer machine assistance to manually selected mappings.
The algorithms work by starting with a context provided by the application, and via a series of iterations, narrow down the options to a small number. The algorithms are further tuned for specific patterns found in some source fields and values, and perhaps some authoring conventions when the target concepts were created.