Communication Domain Ontology

FLOW ALGEBRA
Title: Communication Domain Ontology
Version: 1.0
Source: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/language-domains/communication-domain-ontology.html
Status: Domain-based draft; source page content not independently verified.
Authors: Mark Higgins — Sky (Recursive AI)

FLOW "CommunicationDomainOntology" v1.0

DOMAIN:
  id: language.communication
  parent: language-domains
  scope: Human, organisational, mediated and machine-assisted communication
  purpose: Represent communication events, participants, messages, channels, contexts, interpretations and outcomes for semantic reasoning.

TYPES:
  Communicator: Entity {id:str, role:str?, language:str?}
  Audience: Entity {id:str, size:int?, characteristics:list?}
  CommunicationEvent: Event {id:str, timestamp:datetime?, context:Context?, purpose:str?}
  Message: Information {id:str, content:str?, language:str?, modality:Modality, intent:Intent?}
  Channel: Medium {id:str, type:str, synchronous:bool?}
  Context: Situation {id:str, setting:str?, culture:str?, time:datetime?}
  Feedback: Response {id:str, content:str?, sentiment:str?, timestamp:datetime?}
  Interpretation: Meaning {id:str, proposition:str?, confidence:float?}
  Barrier: Constraint {id:str, kind:str, severity:float?}
  CommunicationOutcome: Result {id:str, comprehension:float?, action:str?}
  Modality: Enum {spoken, written, signed, visual, nonverbal, multimodal}
  Intent: Enum {inform, request, persuade, question, instruct, express, negotiate, acknowledge}

RELATIONSHIPS:
  INITIATES(Communicator, CommunicationEvent)
  ADDRESSES(CommunicationEvent, Audience)
  TRANSMITS(CommunicationEvent, Message)
  USES_CHANNEL(CommunicationEvent, Channel)
  OCCURS_IN(CommunicationEvent, Context)
  ENCODES(Communicator, Message)
  RECEIVES(Audience, Message)
  INTERPRETS(Audience, Message, Interpretation)
  RESPONDS_TO(Feedback, Message)
  PROVIDES_FEEDBACK(Audience, Feedback)
  IMPEDES(Barrier, CommunicationEvent)
  PRODUCES(CommunicationEvent, CommunicationOutcome)
  REFERENCES(Message, Entity)
  SEMANTICALLY_ALIGNS_WITH(Interpretation, Message)

CONSTRAINTS:
  - Every CommunicationEvent must have at least one communicator and one message.
  - Interpretations are attributed to an interpreter and must not be treated as identical to sender intent.
  - Communication effectiveness must be evaluated in a defined context and against explicit criteria.
  - Consent, privacy, accessibility and cultural variation are relevant context constraints.
  - Missing feedback is not proof of understanding or agreement.

INFERENCE_RULES:
  R1: INITIATES(s,e) AND TRANSMITS(e,m) => SENDER_OF(s,m)
  R2: ADDRESSES(e,a) AND TRANSMITS(e,m) => INTENDED_RECIPIENT(a,m)
  R3: RECEIVES(a,m) AND INTERPRETS(a,m,i) => HAS_INTERPRETATION(a,m,i)
  R4: RESPONDS_TO(f,m) AND PROVIDES_FEEDBACK(a,f) => FEEDBACK_FROM(m,a)
  R5: IMPEDES(b,e) => POTENTIAL_COMMUNICATION_RISK(e,b)
  R6: SEMANTICALLY_ALIGNS_WITH(i,m) AND VERIFIED_COMPREHENSION(i,m) => EVIDENCE_OF_UNDERSTANDING(i,m)
  R7: USES_CHANNEL(e,c) AND CHANNEL_INACCESSIBLE_TO(c,a) AND ADDRESSES(e,a) => ACCESSIBILITY_BARRIER(e,a)

CONFIDENCE:
  range: [0.0, 1.0]
  sources: [direct_observation, explicit_feedback, validated_assessment, contextual_inference]
  rule: Do not equate model confidence with verified communication success.

SEMANTIC_EQUIVALENCE:
  mappings:
    sender: communicator
    receiver: recipient
    communication_medium: channel
    response: feedback  # context-dependent, not universally identical
  policy: Equivalence requires compatible meaning, context and role; otherwise record similarity only.

PROVENANCE:
  required: [source_id, observation_method, timestamp, evidence_type]
  optional: [language, jurisdiction, culture, annotator, licence]

FLOW_HASH:
  method: SHA-256
  input: Canonical serialisation of ontology version, type definitions, relationships, constraints and rules
  policy: Recalculate on substantive changes; do not claim a computed hash until calculated.

UPDATE_MODEL:
  strategy: versioned_append_with_review
  triggers: [new_evidence, terminology_change, corrected_relation, new_communication_modality]
  validation: [type_check, relation_check, provenance_check, rule_consistency, bias_review]
  preserve_history: true

AI_CONSUMPTION:
  format: typed_semantic_graph
  tasks: [information_extraction, dialogue_analysis, intent_recognition, accessibility_review, communication_reasoning]
  safeguards: [context_preservation, uncertainty_disclosure, no_unverified_intent_attribution, privacy_minimisation]
  output: {entities, relationships, inferences, confidence, provenance, version}

END FLOW