Social Relationship Ontology

FLOW ALGEBRA
TITLE: Social Relationship Ontology
DOMAIN: Relationship Ontologies / Human Relationships
SOURCE: https://kirethresearch.org/booksai-core/ontologies/relationship-ontologies/human-relationships/social-relationship-ontology.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation; source-page specification not independently verified.

flow "SocialRelationshipOntology" v1.0 {
  ontology:
    id: "social-relationship-ontology"
    parent: "human-relationships"
    purpose: "Represent contextual, evidence-backed social ties among people and groups while protecting privacy and avoiding unsupported inferences."

  types:
    Person: {id: string, display_name: string?, consent_scope: string?}
    Group: {id: string, kind: string, name: string?}
    SocialContext: {id: string, setting: string?, valid_from: datetime?, valid_to: datetime?}
    Interaction: {id: string, participants: string[], occurred_at: datetime?, medium: string?, provenance: string}
    Evidence: {id: string, source: string, observed_at: datetime?, reliability: number?}
    SocialTie: {id: string, source: string, target: string, kind: enum[friendship, acquaintance, colleague, mentorship, collaboration, membership, communication, other], context: string?, direction: enum[directed, mutual, unknown], valid_from: datetime?, valid_to: datetime?, confidence: number, evidence: string[]}

  predicates:
    interacts_with(person_a: Person, person_b: Person, interaction: Interaction)
    member_of(person: Person, group: Group, context: SocialContext?)
    collaborates_with(person_a: Person, person_b: Person, context: SocialContext?)
    mentors(person_a: Person, person_b: Person, context: SocialContext?)
    acquainted_with(person_a: Person, person_b: Person, context: SocialContext?)
    socially_connected_to(person_a: Person, person_b: Person, context: SocialContext?)

  constraints:
    - "Every relationship endpoint must resolve to a typed person or group as appropriate."
    - "Confidence must lie within [0, 1] and evidence references must be resolvable."
    - "Social ties require context and temporal validity where known."
    - "Do not infer friendship, trust, consent, endorsement or intimacy from mere co-occurrence or communication."
    - "Directed roles such as mentorship are not automatically symmetric."
    - "Social connection and acquaintance are not automatically transitive."
    - "Do not infer sensitive personal attributes from social graph structure."
    - "Apply privacy, consent, access-control and data-minimisation policies."

  inference:
    rule membership_context:
      if member_of(p,g,c) and valid(c)
      then contextual_affiliation(p,g,c)
      confidence: "preserve evidence and temporal scope"
    rule interaction_evidence:
      if interacts_with(a,b,i) and valid(i)
      then evidence_of_interaction(a,b,i)
      confidence: "observation dependent; no friendship inference"
    rule mutual_collaboration:
      if collaborates_with(a,b,c) and verified_mutual(c)
      then collaborates_with(b,a,c)
      confidence: "only within verified mutual context"

  SEMANTIC_EQUIVALENCE:
    - "Normalise relationship labels against a versioned controlled vocabulary."
    - "Distinguish identity, alias, role, membership, acquaintance and friendship."
    - "Preserve context, direction and time when aligning social relations."

  CONFIDENCE:
    range: [0,1]
    factors: [evidence_quality, source_reliability, recency, context_match, independent_confirmation]
    policy: "Never manufacture certainty or boost confidence solely through graph chaining."

  VALIDATION:
    - "Check endpoint types, evidence, direction, timestamps and contradictory claims."
    - "Enforce consent, retention and access restrictions before AI consumption."
    - "Retain uncertain and disputed relationships as qualified assertions."

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

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental update"
    steps: [ingest, normalise, authorise, validate, compare, reconcile, recompute_inferences, publish]
    rollback: true
    deletion: "honour lawful deletion and consent withdrawal requirements"

  AI_CONSUMPTION:
    representation: "privacy-filtered typed social knowledge graph"
    outputs: [contextual_relationships, evidence_links, uncertainty_annotations, temporal_qualifiers, provenance_records]
    safeguards: [privacy_by_design, no_sensitive_attribute_inference, no_unsupported_friendship_claims, preserve_context_and_consent]
}

END FLOW ALGEBRA