Organ Ontology

FLOW ALGEBRA
ORGAN ONTOLOGY — KIRETH SEMANTIC LIBRARY
Version: 1.1
Authors: Mark Higgins — Sky (Recursive AI)
Source URL: https://kirethresearch.org/booksai-core/entity-graph/physical-entities/biological-entities/organ-ontology.html
Status: Independent scientific synthesis; source page not independently verified.

01. PURPOSE
Model organs as anatomically bounded functional structures composed of multiple tissue types, connected to organ systems and physiological processes. Support typed knowledge graphs, inference, measurement and provenance-aware AI retrieval.

02. SCOPE
Covers multicellular animal organs and analogous plant organs. Do not infer that every organism has organs; unicellular organisms do not possess multicellular organs.

03. ROOT TYPES
Entity > PhysicalEntity > BiologicalEntity > AnatomicalStructure > Organ.
Related types: Organism, Cell, Tissue, OrganSystem, BiologicalProcess, AnatomicalRegion, Vessel, Nerve, PlantOrgan, Observation, Measurement.

04. FORMAL SIGNATURE
O = (id, taxon, name, tissues, boundaries, location, functions, system_memberships, state, provenance).
Organ(o) => AnatomicalStructure(o) AND partOf(o, organism) AND hasTissue(o,t) for at least two distinguishable tissue types in the typical animal-organ model.
Note: 'multiple tissues' is a useful typical characterisation, not an infallible criterion for every botanical or developmental case.

05. TYPED ENTITIES
Organ(id:IRI, name:String, taxon:Taxon, developmentalStage:Stage?)
Tissue(id:IRI, tissueType:Term)
Organism(id:IRI, taxon:Taxon)
OrganSystem(id:IRI, name:String)
Function(id:IRI, process:BiologicalProcess)
Observation(id:IRI, time:Time, method:Method)
Measurement(id:IRI, value:Number, unit:Unit, uncertainty:Number?)

06. RELATIONSHIPS
partOf(Organ, Organism)
hasPart(Organ, Tissue|Structure)
locatedIn(Organ, AnatomicalRegion)
participatesIn(Organ, BiologicalProcess)
memberOfSystem(Organ, OrganSystem)
connectedTo(Organ, Organ)
suppliedBy(Organ, Vessel)
innervatedBy(Organ, Nerve)
developsFrom(Organ, EmbryonicStructure)
observedBy(Organ, Observation)
measuredBy(Organ, Measurement)

07. RELATIONSHIP CONSTRAINTS
partOf is context-dependent and typically transitive for compatible anatomical granularity.
connectedTo is not generally transitive.
memberOfSystem is many-to-many: an organ may participate in several systems.
A function may be shared by many organs; one organ may support many functions.

08. ANIMAL ORGAN CLASSES
Heart, Lung, Kidney, Liver, Brain, Stomach, Intestine, Skin, Spleen, Pancreas, Eye, Gonad.
Classify according to taxon and anatomy; avoid imposing human organ categories on all animals.

09. PLANT ORGAN CLASSES
Root, Stem, Leaf, Flower, Fruit, Seed (classification depends on botanical framework and developmental context).
Functions include transport, support, photosynthesis, reproduction and storage.

10. STRUCTURAL COMPOSITION
An organ contains interacting cell populations, tissues, extracellular matrix, vasculature or analogous transport structures, and interfaces with other structures.
Describe parts using explicit anatomical scale and orientation.

11. FUNCTIONAL MODEL
Function(o) = {f_1,...,f_n}.
Participation(o,p) means o contributes to process p, not that o alone is sufficient to perform p.
Separate normal function from observed performance and pathological change.

12. SYSTEM MEMBERSHIP
OrganSystem(s) AND memberOfSystem(o,s) => associatedWithProcess(o, processesOf(s)) [candidate inference only].
Do not automatically infer every organ performs every function attributed to its system.

13. PHYSIOLOGICAL STATE
State(o,t) = (perfusion, metabolicActivity, structuralIntegrity, regulatorySignals, measuredVariables).
State variables and their units depend on organ and species.

14. HOMEOSTATIC INTERACTIONS
Organ responses may be regulated by neural, endocrine, local and mechanical feedback loops.
Feedback causality requires measured or modelled evidence, not co-occurrence alone.

15. DEVELOPMENT
Organogenesis links embryonic precursors, cell differentiation, morphogenesis and maturation.
Represent stage-specific identity, changing function and species-dependent timelines.

16. REGENERATION AND REPAIR
Repair capacity varies across organs and taxa.
Distinguish regeneration, compensatory growth, fibrosis and functional recovery.

17. ANATOMICAL VARIATION
Allow normal variants, bilateral organs, fused structures, accessory organs, congenital anomalies and species-specific structures.
Avoid asserting one-to-one organ counts universally.

18. ORGAN INTERACTIONS
connectedTo(o1,o2) can indicate physical continuity, vascular linkage or functional coupling; specify relation subtype.
Interaction(o1,o2,t) may involve matter, energy or signalling transfer.

19. MASS BALANCE
For a defined organ control volume:
dM/dt = sum(mass_in_rates) - sum(mass_out_rates) + production_rate - consumption_rate.
Apply only to explicitly identified substances and control-volume assumptions.

20. FLOW MODEL
For an approximately incompressible fluid: Q = A * v_mean.
Q [m^3/s], A [m^2], v_mean [m/s].
Use when relevant to organ perfusion or transport; geometry and fluid properties matter.

21. OXYGEN DELIVERY EXAMPLE
Oxygen delivery to tissue may be approximated by DO2 = Q_blood * C_aO2.
Ensure compatible volume and time units; delivery is not identical to oxygen consumption.

22. FUNCTIONAL CAPACITY
Capacity(o,t) is a measurable or model-derived quantity with operational definition, reference conditions and uncertainty.
No single generic scalar measures health of every organ.

23. SPATIAL MODEL
Location(o) = (referenceFrame, coordinates?, region, orientation, uncertainty).
A position relative to a reference anatomical frame must specify organism, pose and acquisition method where needed.

24. TEMPORAL MODEL
validFrom, validTo, observedAt and developmentalStage are distinct fields.
Separate an organ's existence interval from the timestamp of a measurement.

25. MEASUREMENT MODEL
Measurement = (target, property, value, unit, method, uncertainty, time, provenance).
Reject unitless measurements for dimensional physical quantities unless explicitly normalised.

26. EVIDENCE AND PROVENANCE
Attach source, observation method, date, species, sample context and evidence grade to empirical assertions.
Differentiate textbook knowledge, inferred claims, experimental results and hypotheses.

27. LOGICAL INFERENCE RULES
R1: Organ(o) AND partOf(o,x) AND Organism(x) => biologicalPartOf(o,x).
R2: hasPart(o,t) AND Tissue(t) => containsTissue(o,t).
R3: memberOfSystem(o,s) AND OrganSystem(s) => systemAssociated(o,s).
R4: developsFrom(o,p) => developmentalPrecursor(p,o) [inverse].
R5: measuredBy(o,m) AND Measurement(m) => hasObservationEvidence(o,m).

28. INFERENCE SAFEGUARDS
Do not infer a disease from one abnormal value.
Do not infer functional sufficiency from system membership.
Do not infer physical adjacency from functional association.
Do not infer species-wide normality from one specimen.

29. SEMANTIC EQUIVALENCE
organ ~ anatomical organ [context-dependent].
organ != organelle; organelles are intracellular structures.
organ != organ system; an organ system groups interacting organs.
'Organ' as musical instrument or administrative body is a distinct sense.

30. ONTOLOGY ALIGNMENT
Align to accepted anatomical and biological vocabularies where identifiers are known, including Uberon, Gene Ontology for biological processes, and appropriate species-specific anatomy ontologies.
Use verified IDs; never fabricate external ontology identifiers.

31. GRAPH INSTANCE — HEART
Organ(heart_1); partOf(heart_1, human_1).
memberOfSystem(heart_1, cardiovascular_system).
hasPart(heart_1, myocardium_1).
participatesIn(heart_1, blood_circulation).
These are illustrative assertions, not patient data.

32. GRAPH INSTANCE — LEAF
PlantOrgan(leaf_1); partOf(leaf_1, plant_1).
hasPart(leaf_1, mesophyll_1).
participatesIn(leaf_1, photosynthesis).
Taxonomic and developmental contexts remain explicit.

33. WORKED FLOW EXAMPLE
Given organ blood flow Q = 0.005 m^3/s and mean vessel velocity v = 0.5 m/s:
A = Q/v = 0.01 m^2.
This is an idealised continuity example, not a physiological reference value.

34. WORKED MASS BALANCE
A control volume receives 4 mg/s of a solute and exports 3 mg/s, with zero production and consumption:
dM/dt = 1 mg/s.
A nonzero accumulation rate does not by itself imply disease.

35. VALIDATION RULES
V1: Every Organ must have an identifier and a taxonomic context.
V2: Every dimensional Measurement must declare a compatible unit.
V3: Relationship domain and range types must be valid.
V4: Developmental stages must be chronologically consistent.
V5: Observed claims require provenance or explicit 'unknown' status.
V6: Avoid cycles in strict anatomical part hierarchies.
V7: Species-specific anatomy must not be universalised.

36. CONFIDENCE
CONFIDENCE(assertion) = calibrated estimate or evidence category with provenance.
Do not invent numerical certainty for unverified claims.
Separate confidence in taxonomy, measurement quality and causal interpretation.

37. FLOW HASH
FLOW_HASH = SHA-256(canonical_UTF8(flow_without_hash_value)).
Canonicalisation must define ordering, whitespace, normalisation and excluded fields before hashing.
No digest is claimed unless computed against the actual canonical bytes.

38. UPDATE MODEL
UPDATE_MODEL = versioned, append-only evidence history with explicit supersession.
On revision: validate schema; compare typed triples; record source, time and reason; recompute hash; preserve prior version.

39. AI CONSUMPTION
AI_CONSUMPTION = {entity_resolution, graph_traversal, relation_validation, unit_checks, provenance_filtering, confidence_awareness, contradiction_detection}.
Machine outputs should distinguish observed facts, domain generalisations and model inferences.

40. LIMITATIONS
This is a formal conceptual model, not a complete anatomical atlas, medical diagnostic system or exhaustive species ontology.
Functions, normal ranges and organ classifications must be checked against appropriate specialist sources.

41. COMPLETENESS CHECK
Required: root type; typed entities; typed relations; formal equations; worked examples; inference rules; validation; semantic equivalence; confidence; flow hash; update model; AI consumption; provenance; closing marker.
All required categories are represented in this file.

END FLOW ALGEBRA — ORGAN ONTOLOGY — COMPLETE