dido:01-fdis-ra:02-background-and-motivation:02-4-existing-functional-capabilities-in-reporting-systems:02-4-4-semantic-representations:start

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dido:01-fdis-ra:02-background-and-motivation:02-4-existing-functional-capabilities-in-reporting-systems:02-4-4-semantic-representations:start [2026/07/12 12:12] – created nick_didodido:01-fdis-ra:02-background-and-motivation:02-4-existing-functional-capabilities-in-reporting-systems:02-4-4-semantic-representations:start [2026/07/18 12:33] (current) – external edit 127.0.0.1
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 * Conformance assessments * Conformance assessments
  
-Implementations realise these rules through a range of techniques, from declarative rule expressions to embedded application logic.+Implementations realize these rules through a range of techniques, from declarative rule expressions to embedded application logic.
  
-In current practice, rule definitions, [[dido:99_annexes:annex-b-terms-and-definitions:s:semantic|semantic]] assumptions, and execution behaviour are frequently tightly coupled. Rules may encode meaning implicitly, depend on undocumented contextual assumptions, or produce derived facts without explicit linkage to the definitions, versions, parameters, or interpretive context that governed the evaluation.+In current practice, rule definitions, [[dido:99_annexes:annex-b-terms-and-definitions:s:semantic|semantic]] assumptions, and execution behavior are frequently tightly coupled. Rules may encode meaning implicitly, depend on undocumented contextual assumptions, or produce derived facts without explicit linkage to the definitions, versions, parameters, or interpretive context that governed the evaluation.
  
 As rules evolve in response to regulatory change, policy updates, or analytical refinement, this coupling undermines comparability, auditability, reproducibility, and long-term consistency across systems and reporting periods. As rules evolve in response to regulatory change, policy updates, or analytical refinement, this coupling undermines comparability, auditability, reproducibility, and long-term consistency across systems and reporting periods.
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 Validation and conformance outcomes remain traceable not only to the underlying reported or observed facts, but also to the specific rules, semantic definitions, versions, parameters, and interpretive context applied during evaluation. Validation and conformance outcomes remain traceable not only to the underlying reported or observed facts, but also to the specific rules, semantic definitions, versions, parameters, and interpretive context applied during evaluation.
  
-Without this architectural separation and traceability, rule-based validation logic becomes opaque and brittle. Changes in rules or definitions may alter system behaviour without adequate visibility, making it difficult to:+Without this architectural separation and traceability, rule-based validation logic becomes opaque and brittle. Changes in rules or definitions may alter system behavior without adequate visibility, making it difficult to:
  
   * Explain outcomes   * Explain outcomes
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