Knowledge Integration Domain Ontology

FLOW ALGEBRA
TITLE: Knowledge Integration Domain Ontology
VERSION: 1.0
SOURCE_URL: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/ai-semantic-library-domains/knowledge-integration-domain-ontology.html
STATUS: Domain-based draft; source page content not independently verified.
AUTHORS: Mark Higgins — Sky (Recursive AI)
PROJECT: Kireth Semantic Library

DOMAIN:
  id: knowledge_integration
  label: Knowledge Integration Domain Ontology
  parent: ai_semantic_library_domains
  purpose: Represent, align, reconcile, merge, trace, and query knowledge from heterogeneous sources while preserving context, uncertainty and provenance.

TYPED_ENTITIES:
  KnowledgeSource: {id, title, source_type, authority, timestamp, licence}
  Dataset: {id, schema, format, version, provenance}
  Ontology: {id, namespace, classes, properties, version}
  KnowledgeGraph: {id, nodes, edges, named_graphs, version}
  Entity: {id, type, label, identifiers, context}
  Concept: {id, definition, domain, aliases}
  Assertion: {id, subject, predicate, object, context, provenance, confidence}
  Mapping: {id, source_term, target_term, relation, evidence, confidence}
  Conflict: {id, assertions, conflict_type, resolution_status}
  IntegrationPipeline: {id, stages, inputs, outputs, policy}
  IntegratedKnowledgeBase: {id, sources, schema, assertions, version}
  ValidationReport: {id, checks, violations, outcome}

RELATIONSHIPS:
  source_provides(source:KnowledgeSource, assertion:Assertion)
  dataset_uses_schema(dataset:Dataset, ontology:Ontology)
  assertion_describes(assertion:Assertion, entity:Entity)
  concept_maps_to(concept:Concept, target:Concept, mapping:Mapping)
  entity_same_as(entity:Entity, other:Entity, evidence:Mapping)
  assertion_conflicts_with(assertion:Assertion, other:Assertion)
  pipeline_consumes(pipeline:IntegrationPipeline, source:KnowledgeSource)
  pipeline_produces(pipeline:IntegrationPipeline, kb:IntegratedKnowledgeBase)
  kb_contains(kb:IntegratedKnowledgeBase, assertion:Assertion)
  report_validates(report:ValidationReport, kb:IntegratedKnowledgeBase)

OPERATORS:
  EXTRACT(source) -> candidate_assertions
  NORMALISE(candidate_assertions, canonical_schema) -> normalised_assertions
  ALIGN(source_ontology, target_ontology, context) -> mappings
  RESOLVE_ENTITIES(assertions, identity_policy) -> entity_clusters
  DETECT_CONFLICTS(assertions, context) -> conflicts
  RECONCILE(conflicts, provenance, temporal_scope, policy) -> decisions
  MERGE(assertions, decisions) -> integrated_knowledge_base
  VALIDATE(integrated_knowledge_base, constraints) -> validation_report
  QUERY(integrated_knowledge_base, query, permissions) -> grounded_results

FLOW:
  input_sources
    -> EXTRACT
    -> NORMALISE
    -> ALIGN
    -> RESOLVE_ENTITIES
    -> DETECT_CONFLICTS
    -> RECONCILE
    -> MERGE
    -> VALIDATE
    -> AI_CONSUMPTION

INFERENCE_RULES:
  R1: IF source and target concepts have compatible definitions, scopes and constraints THEN propose semantic mapping; do not assert identity without evidence.
  R2: IF two entity records share verified identifiers within the same scope THEN propose identity resolution with provenance.
  R3: IF assertions disagree about the same property, entity and valid time THEN register conflict rather than silently overwriting.
  R4: IF conflicting assertions apply to different times, jurisdictions or contexts THEN preserve both with scoped validity.
  R5: IF a derived assertion depends on source assertions THEN retain a derivation chain and invalidate or recompute it when dependencies change.
  R6: IF validation fails THEN quarantine affected outputs and return diagnostics; do not publish them as verified knowledge.

CONSTRAINTS:
  - Preserve original source identifiers and attribution.
  - Distinguish exact identity from similarity and broader/narrower mappings.
  - Maintain temporal and contextual scope for every assertion.
  - Do not treat absent evidence as evidence of absence.
  - Respect source licences, access restrictions and privacy controls.
  - Keep disputed or uncertain claims distinguishable from established assertions.

CONFIDENCE:
  range: [0.0, 1.0]
  applies_to: [assertions, mappings, entity_matches, inferences]
  policy: Calibrate against evidence and validation; never manufacture numeric certainty.
  propagation: Derived confidence must reflect dependencies and correlation, not assume independence.

SEMANTIC_EQUIVALENCE:
  exact: Identity or logically equivalent meaning under stated scope.
  close: Similar meaning with possible contextual differences.
  broad: Source concept is more general than target.
  narrow: Source concept is more specific than target.
  related: Association without substitutability.
  policy: Record mapping direction, evidence, context and confidence.

PROVENANCE:
  required: [source_id, extraction_time, original_identifier, transformation_history, attribution]
  derived_assertions: retain parent assertion IDs and rule identifiers.

FLOW_HASH:
  algorithm: SHA-256
  input: Canonical UTF-8 serialisation of ontology version, rules, mapping policy and integration configuration.
  note: Hash is computed by the implementing runtime; no hash value is asserted in this draft.

UPDATE_MODEL:
  trigger: [source_change, schema_change, mapping_revision, validation_failure, scheduled_review]
  steps: [detect_change, identify_dependencies, re-extract, re-align, revalidate, version, publish]
  guarantees: [traceability, rollback, deterministic_reprocessing_where_possible]

AI_CONSUMPTION:
  inputs: [user_query, authorised_knowledge_scope, context]
  retrieval: Query integrated assertions with provenance and confidence.
  outputs: [grounded_answer, supporting_assertion_ids, source_references, uncertainty, conflicts]
  safeguards: [no_unsupported_claims, respect_permissions, distinguish_fact_from_inference]

END FLOW ALGEBRA