... the notion that information within a given enterprise (system model) has significant meaning (structure) and is understandable to its internal and external entities.

Translation is the culmination of several processes working together: in-process, semantic ontology and out-process.
The OmPrompt semantic ontology is in essence a library structure containing all the various elements, headers and parameters in a neutral format.

The OmPrompt automated mapping system deduces the necessary maps from the in/outbound syntax and semantic ontologies.
The semantic ontology is a neutral format that facilitates rapid on-boarding and allows for further outbound or inbound maps to be added quickly at any point, for example the addition of a trading partner.
The in and out processes are automated flows, produced by the OmPrompt system for the data maps generated by the automated mapping system.
OmPrompt analysts are able to create and apply business logic, which might include data transformation, date format changes for example, or conversions (code tables and look-ups); plus order for the flow, maps to multiple fields and any modifications required to logic loops.

In and out processes are independent of each other, but work in the same way, generating runtime code on demand for the analyst and enabling agile deployment and rapid on-boarding. Business logic changes are easily accommodated and the processes are flexible enough to allow easy rollout to subsequent trading partners.