Industry Domains

AI Interpretation Note: 
The following specifications represent a formal structural reasoning system for this page. 
Execute as formal rules, not pseudocode. 

FLOW ALGEBRA
TITLE: Industry Domains
VERSION: 1.0
SOURCE: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/industry-domains.html
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
SCOPE: Domain ontology index and cross-industry semantic reasoning
STATUS: Domain-based formal draft; source page category list verified 2026-10-11. Embedded specifications not independently verified.

flow "IndustryDomains" v1.0

# TYPE SYSTEM
type IndustryDomain = enum {
  Manufacturing, Construction, Energy, Agriculture, Mining,
  Telecommunications, Transportation, Logistics, Retail, Hospitality
}
type Organisation = { id: string, name: string, industry: IndustryDomain }
type Activity = { id: string, label: string, industry: IndustryDomain }
type Resource = { id: string, label: string, kind: string }
type ProductService = { id: string, label: string, kind: enum { Product, Service } }
type Process = { id: string, label: string, inputs: set<Resource>, outputs: set<ProductService> }
type Facility = { id: string, label: string, industry: IndustryDomain }
type Regulation = { id: string, jurisdiction: string, effective_from: date?, effective_to: date? }
type Evidence = { id: string, source: string, observed_at: datetime?, reliability: float[0,1] }
type Claim = { subject: string, predicate: string, object: string, evidence: set<Evidence>, confidence: float[0,1] }

# DOMAIN TAXONOMY
DOMAIN Manufacturing: production, fabrication, assembly, quality_control, maintenance
DOMAIN Construction: design, procurement, site_work, building, inspection
DOMAIN Energy: generation, conversion, transmission, distribution, storage
DOMAIN Agriculture: cultivation, livestock, harvesting, processing, stewardship
DOMAIN Mining: exploration, extraction, beneficiation, rehabilitation
DOMAIN Telecommunications: network_infrastructure, connectivity, transmission, service_delivery
DOMAIN Transportation: movement, vehicles, infrastructure, passenger_and_freight_services
DOMAIN Logistics: sourcing, warehousing, fulfilment, distribution, reverse_logistics
DOMAIN Retail: merchandising, inventory, transactions, customer_service
DOMAIN Hospitality: accommodation, food_service, guest_experience, operations

# TYPED RELATIONSHIPS
RELATION operates_in(Organisation, IndustryDomain)
RELATION performs(Organisation, Activity)
RELATION uses(Activity, Resource)
RELATION produces(Process, ProductService)
RELATION located_at(Organisation, Facility)
RELATION supplies_to(Organisation, Organisation)
RELATION depends_on(Process, Process)
RELATION transports(Organisation, ProductService)
RELATION governed_by(Activity, Regulation)
RELATION supported_by(Claim, Evidence)
RELATION overlaps_with(IndustryDomain, IndustryDomain)

# CONSTRAINTS
CONSTRAINT organisation_identity: Organisation.id is unique
CONSTRAINT process_input_output: Process.inputs and Process.outputs are typed collections
CONSTRAINT jurisdiction_scope: governed_by requires applicable jurisdiction and date
CONSTRAINT evidence_provenance: every externally asserted factual claim retains evidence source
CONSTRAINT non_equivalence: overlaps_with(A,B) does not imply A = B
CONSTRAINT uncertainty: unknown evidence must not be converted to certain fact

# INFERENCE RULES
RULE industry_membership:
  IF performs(o,a) AND a.industry = d THEN candidate operates_in(o,d)
  WITH confidence = evidence_weight(o,a)
RULE supply_chain_link:
  IF supplies_to(a,b) AND supplies_to(b,c) THEN candidate indirect_supply_link(a,c)
  WITH provenance = [a,b,c]
RULE cross_industry_dependency:
  IF depends_on(p,q) AND p.industry != q.industry THEN cross_industry_dependency(p.industry,q.industry)
RULE compliance_applicability:
  IF governed_by(a,r) AND jurisdiction_matches(a,r) AND date_valid(r)
  THEN applicable_regulation(a,r)
RULE no_unverified_compliance:
  IF NOT verified_compliance_evidence(o,r) THEN compliance_status(o,r) = UNKNOWN
RULE classification_guard:
  IF shared_activity(a,d1,d2) THEN related_domains(d1,d2)
  NOT semantic_equivalence(d1,d2)

# CONFIDENCE
CONFIDENCE:
  range: [0.0,1.0]
  inputs: [source_reliability, evidence_recency, relation_specificity, independent_corroboration]
  missing_evidence: UNKNOWN
  rule: do_not_inflate_confidence_across_inference_chains

# SEMANTIC_EQUIVALENCE
SEMANTIC_EQUIVALENCE:
  require: [same_referent, compatible_scope, compatible_context, supporting_evidence]
  distinguish: [synonym, related_concept, broader_term, narrower_term, exact_equivalence]
  examples:
    - manufacturing != construction
    - transportation != logistics
    - hospitality != retail

# PROVENANCE
PROVENANCE:
  retain: [source_url, source_title, retrieval_date, author, evidence_id, revision]
  source_url: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/industry-domains.html
  source_categories_verified: true
  embedded_specifications_verified: false

# FLOW_HASH
FLOW_HASH:
  method: SHA-256
  input: canonical_serialisation(types, relationships, constraints, rules, version)
  generation: compute_at_publication
  value: PENDING_COMPUTATION

# UPDATE_MODEL
UPDATE_MODEL:
  trigger: [source_revision, taxonomy_change, rule_change, evidence_change]
  steps: [validate_types, preserve_prior_version, recalculate_inferences, update_provenance, recompute_flow_hash]
  preserve_backward_traceability: true

# AI_CONSUMPTION
AI_CONSUMPTION:
  mode: typed_semantic_reasoning
  interpret_as: formal_rules_not_pseudocode
  validate_before_inference: true
  return: [entities, relationships, inferred_claims, confidence, provenance, uncertainty]
  avoid: [unsupported_claims, false_equivalence, jurisdiction_free_compliance_claims]

END FLOW