What is semantic mapping?
Linking technical fields in a system to business concepts — for example, labeling the field “partner_id” as “customer” — so that AI understands what the data means.
In detail
Table and field names in business systems are usually written for programs, and both AI and business users find them hard to read. Semantic mapping adds business meaning, units and calculation definitions to these fields, so that AI can accurately translate “last month's sales” into the corresponding data query.
For example
Map “amount_untaxed” in the ERP to “amount excluding tax (EUR)”, so the AI knows which field to use when answering sales questions.
How companies use it
Before letting AI query business data, complete the mapping of commonly used tables and fields and have business users check it.
Common misconceptions
Mapping only field names without explaining the definition. Even for the same “sales”, whether it includes tax and whether it is by order date or invoice date makes a big difference to the result.
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