Aerospace Engineering Domain Ontology

FLOW ALGEBRA
TITLE: Aerospace Engineering Domain Ontology
DOMAIN: Domain Ontologies / Engineering Domains / Aerospace Engineering
SOURCE: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/engineering-domains/aerospace-engineering-domain-ontology.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation; source-page specification not independently verified.

flow "AerospaceEngineeringDomainOntology" v1.0 {
  ontology:
    id: "aerospace-engineering-domain-ontology"
    parent: "engineering-domains"
    purpose: "Represent aerospace vehicles, subsystems, physical interactions, requirements, analyses, tests and evidence-backed engineering relationships."

  types:
    AerospaceVehicle: {id: string, kind: enum[aircraft, rotorcraft, spacecraft, launch_vehicle, unmanned_vehicle, other], configuration: string?, lifecycle_state: string}
    Subsystem: {id: string, kind: enum[propulsion, structures, aerodynamics, guidance_navigation_control, avionics, thermal, power, communications, payload, other]}
    Component: {id: string, kind: string, part_number: string?, revision: string?}
    Environment: {id: string, regime: enum[atmospheric, orbital, deep_space, ground_test, other], conditions: string}
    Requirement: {id: string, statement: string, acceptance_criterion: string, version: string, provenance: string}
    EngineeringModel: {id: string, kind: string, assumptions: string[], validity_domain: string, version: string}
    Test: {id: string, method: string, timestamp: datetime?, configuration: string, provenance: string}
    Measurement: {id: string, quantity: string, value: number, unit: string, uncertainty: number?, reference_frame: string?, timestamp: datetime?, provenance: string}
    Relationship: {id: string, subject: string, predicate: string, object: string, context: string?, confidence: number, evidence: string[]}

  predicates:
    part_of(component: Component, subsystem: Subsystem)
    installed_on(subsystem: Subsystem, vehicle: AerospaceVehicle)
    interfaces_with(a: Subsystem, b: Subsystem)
    operates_in(vehicle: AerospaceVehicle, environment: Environment)
    subject_to(vehicle: AerospaceVehicle, environment: Environment)
    satisfies(entity: string, requirement: Requirement)
    verified_by(requirement: Requirement, test: Test)
    predicts(model: EngineeringModel, measurement: Measurement)
    measured_by(entity: string, measurement: Measurement)
    depends_on(a: string, b: string)

  constraints:
    - "Every relationship endpoint must resolve to a typed entity."
    - "Confidence must be within [0, 1]."
    - "Measurements require units; frame-dependent quantities require explicit reference frames."
    - "Requirements must be traceable to verification evidence and applicable configurations."
    - "Do not infer system-level safety or certification from a single component test."
    - "Do not assume models are valid outside their declared operating regimes."
    - "Do not infer causal effects from correlation alone."
    - "Configuration and revision identifiers must be preserved across analyses and tests."

  inference:
    rule subsystem_membership:
      if part_of(c,s) and installed_on(s,v)
      then associated_with(c,v)
      confidence: "retain source context; association is not proof of current installation"
    rule requirement_traceability:
      if satisfies(x,r) and verified_by(r,t) and valid(t)
      then traceable_verification(x,r,t)
      confidence: "dependent on test scope and configuration match"
    rule dependency_impact:
      if depends_on(a,b) and changed(b)
      then requires_impact_review(a)
      confidence: "flag for review, not automatic failure"

  SEMANTIC_EQUIVALENCE:
    - "Normalise aerospace terminology and units using versioned reference vocabularies."
    - "Distinguish exact identity, equivalent design, similar function and interchangeable component."
    - "Preserve vehicle configuration, operating regime and model assumptions."

  CONFIDENCE:
    range: [0,1]
    factors: [measurement_uncertainty, evidence_quality, model_validity, configuration_match, test_repeatability, source_reliability]
    policy: "Do not increase confidence solely through chained inference."

  VALIDATION:
    - "Check entity types, units, frames, test configurations and provenance."
    - "Check requirement-to-test traceability and applicability of acceptance criteria."
    - "Flag contradictory measurements and unsupported performance claims."
    - "Treat airworthiness and spaceflight safety assertions as requiring authoritative independent review."

  FLOW_HASH:
    algorithm: "SHA-256"
    input: "canonicalised ontology version, typed assertions, rules and provenance"
    note: "Compute hash at execution; no hash value is claimed here."

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental update"
    steps: [ingest, normalise, validate, compare, reconcile, recompute_inferences, publish]
    rollback: true

  AI_CONSUMPTION:
    representation: "typed aerospace engineering knowledge graph with evidence-backed edges"
    outputs: [entity_links, relationship_triples, requirement_traces, uncertainty_annotations, inferred_edges, provenance_records]
    safeguards: [no_unsupported_safety_claims, preserve_units_and_frames, preserve_configuration_context, human_review_for_critical_decisions]
}

END FLOW ALGEBRA