Interpretation
Discussion
Interpretation applies semantic context, rules, calculations, classifications, models, or reasoning to data. It produces conclusions, derived facts, analytical assertions, validation outcomes, or decisions.
Interpretation remains distinct from data, structure, and semantics. Data supplies values. Structure governs form. Semantics supplies meaning. Interpretation uses those concerns to determine what follows from the information in a defined context.
Definition
application of semantic context, rules, calculations, classifications, models, or reasoning to data
Source
Informed by SIP-RA treatment of interpretation as distinct from data, structure, and semantics; aligned with FDIS-RA separation of evidence, observation, semantic representation, interpretation, validation, and analysis; adapted from FX Demo Reference Architecture material on analytical assertions, ACTUS computation, semantic processing, validation, monitoring, and policy decisions.
Note
Interpretation may produce outputs that later become data for another process. The architecture must preserve the traceability between inputs, interpretive context, rules, versions, and outputs.
Example
Applying ACTUS logic to transaction data to compute projected cash-flow obligations is an interpretation concern.