Relationship Confidence Ontology

FLOW ALGEBRA
TITLE: Relationship Confidence Ontology
DOMAIN: AI Semantic Library Relationships / Relationship Confidence
SOURCE: https://kirethresearch.org/booksai-core/ontologies/relationship-ontologies/ai-semantic-library-relationships/relationship-confidence-ontology.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation; source-page specification not independently verified.

flow "RelationshipConfidenceOntology" v1.0 {
  ontology:
    id: "relationship-confidence-ontology"
    parent: "ai-semantic-library-relationships"
    purpose: "Represent evidence-backed confidence assessments for semantic relationships, including uncertainty, provenance, calibration and revision."

  types:
    Entity: {id: string, ontology: string, type: string}
    Relationship: {id: string, subject: string, predicate: string, object: string, context: string?, version: string}
    Evidence: {id: string, source: string, observation_time: datetime?, reliability: number?, independence_group: string?, provenance: string}
    ConfidenceAssessment: {id: string, relationship_id: string, score: number, method: string, calibrated: boolean, evidence_ids: string[], assessed_at: datetime, uncertainty: number?, version: string}
    Conflict: {id: string, relationship_ids: string[], evidence_ids: string[], status: enum[open, reviewed, resolved]}

  predicates:
    assesses(assessment: ConfidenceAssessment, relation: Relationship)
    supported_by(relation: Relationship, evidence: Evidence)
    challenged_by(relation: Relationship, evidence: Evidence)
    conflicts_with(a: Relationship, b: Relationship)
    supersedes(new: ConfidenceAssessment, old: ConfidenceAssessment)
    semantically_equivalent_to(a: Relationship, b: Relationship)

  constraints:
    - "Every relationship and evidence reference must resolve to a typed entity."
    - "Confidence and source reliability scores must lie within [0,1]."
    - "A confidence score is not automatically a calibrated probability."
    - "Every assessment must record its method, provenance, time and supporting evidence."
    - "Do not count duplicated or correlated evidence as independent corroboration."
    - "Do not equate semantic similarity, identity and logical equivalence."
    - "Conflicting evidence must be retained rather than silently overwritten."
    - "Missing evidence must not be interpreted as evidence of falsity."

  inference:
    rule evidence_trace:
      if assesses(a,r) and supported_by(r,e)
      then traceable_support(a,e)
      confidence: "retain original evidence quality and context"
    rule confidence_revision:
      if supersedes(new,old) and assesses(new,r) and assesses(old,r)
      then current_assessment(r,new)
      confidence: "version-aware; do not delete historical assessments"
    rule conflict_review:
      if conflicts_with(a,b) and supported_by(a,e1) and supported_by(b,e2)
      then requires_reconciliation(a,b)
      confidence: "do not infer which assertion is correct without evaluation"

  SEMANTIC_EQUIVALENCE:
    - "Normalise relationship identifiers only within compatible ontology versions and contexts."
    - "Preserve distinctions among equivalent assertions, related assertions and contradictory assertions."
    - "Transfer assessments only when evidence scope, semantics and calibration remain applicable."

  CONFIDENCE:
    range: [0,1]
    factors: [source_reliability, evidence_independence, measurement_uncertainty, semantic_alignment, temporal_validity, calibration_quality]
    policy: "Use a documented combination method; do not increase certainty merely by chaining or repeating evidence."

  VALIDATION:
    - "Validate score ranges, identifiers, timestamps, ontology versions and evidence provenance."
    - "Check calibration claims against empirical evaluation when available."
    - "Flag stale assessments, contradictory claims and duplicated evidence."
    - "Preserve uncertainty and distinguish unassessed from low-confidence relationships."

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

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental reassessment"
    steps: [ingest, normalise, validate, deduplicate_evidence, assess, calibrate, reconcile, publish]
    rollback: true

  AI_CONSUMPTION:
    representation: "typed semantic knowledge graph with evidence-linked confidence assessments"
    outputs: [relationship_assertions, confidence_scores, uncertainty_annotations, evidence_traces, conflict_flags, version_history]
    safeguards: [no_unfounded_certainty, no_duplicate_evidence_inflation, preserve_context, preserve_provenance, distinguish_score_from_probability]
}

END FLOW ALGEBRA