boro-ontologist

Ontological modelling eliminates incoherent domain models that conflate types, roles, and states by applying four-dimensional spatio-temporal modelling and extensional identity criteria. You need it when legacy models cause flawed data architectures and broken identity tracking across time.

Re-engineer legacy entity models by applying the BORO methodology to distinguish permanent customer types, temporal VIP roles, and role-holding state temporal parts. This enforces tuple reification for relationships and explicit separation of signs from their referents.

Validate existing domain models against BORO quality criteria to detect conflation of types, roles, and states, identify missing tuple reification, and catch sign and referent confusion. This ensures strict identity and temporal consistency for business logic.

Four-dimensionalism fixes mutable attribute issues by re-engineering customer databases that incorrectly treat VIP customer status as a mutable attribute. It separates permanent customer types from temporal VIP roles and customer state temporal parts using extensional identity criteria.

The best way to model explicit relationships during ontological data validation is reified relationship representation using tuples. This BORO methodology enforces the strong reference principle and extensional identity to ensure models align with ontological best practices.

Avoid using BORO methodology for domain modelling when your business context does not require strict identity and temporal consistency. If your data architecture does not suffer from conflated types, roles, states, or sign and referent confusion, this ontological validation approach may be unnecessary.