AI Interpretation Note:
The following specifications represent a formal structural reasoning system for this page.
Execute as formal rules, not pseudocode.
FLOW Oceanography_Ontology_AI_Search
VERSION 4.0
AUTHORS
Mark Higgins
Sky Recursive AI
SOURCE
https://kirethresearch.org
PAGE
Oceanography Ontology
PURPOSE
Define Oceanography as a machine-readable ontology for AI systems.
Provide a structured semantic model for interpreting oceans, seas, ocean
basins, water masses, currents, tides, waves, salinity, temperature,
marine ecosystems, ocean chemistry, coastal systems, seafloor geology,
observations, measurements, equations, units, symbols, constants and
evidence.
DOMAIN
Semantic Library
AI Core
Scientific Ontologies
Oceanography Ontology
CORE_CLAIM
Oceanography is represented as a structured ontology of ocean systems,
marine processes, physical circulation, chemical composition, biological
interactions, geological structures, coastal dynamics, climate interfaces
and observational measurement frameworks.
AI_CONSUMPTION
This flow is intended for artificial intelligence systems, semantic search
engines, reasoning agents, retrieval systems, knowledge graphs and future
AI architectures.
POSITION_IN_LIBRARY
Semantic Library
→ AI Core
→ Ontologies
→ Scientific Ontologies
→ Oceanography Ontology
ONTOLOGY_TYPE
Domain Ontology
PRIMARY_FUNCTION
Organise oceanographic knowledge into explicit semantic categories that can
be searched, linked, inferred, validated and extended.
FACTS
Oceanography studies Earth’s oceans, seas, marine systems, ocean motion,
seawater chemistry, marine life, seafloor structure and ocean-atmosphere
interaction.
Oceanography includes physical oceanography, chemical oceanography,
biological oceanography, geological oceanography, coastal oceanography,
marine geophysics, marine ecology and climate-ocean science.
Ocean systems include ocean basins, water masses, currents, waves, tides,
coastlines, continental shelves, deep ocean, seafloor structures and marine
ecosystems.
Oceanography depends on ship observations, buoys, satellites, floats,
gliders, sonar, bathymetry, laboratory analysis, numerical models and
long-term monitoring.
Oceanographic knowledge must distinguish between direct observation,
measured property, inferred circulation, biological indicator, chemical
measurement, model prediction, satellite product and theoretical
interpretation.
PRIMARY_ENTITIES
ENTITY OCEANOGRAPHY
TYPE: scientific_domain
DESCRIPTION: Study of Earth’s oceans, marine systems, ocean motion,
chemistry, biology, geology and ocean-atmosphere interaction.
CONFIDENCE: 1.00
ENTITY OCEAN
TYPE: marine_system
DESCRIPTION: Large body of saline water covering most of Earth’s
surface and participating in climate, circulation and ecosystems.
CONFIDENCE: 1.00
ENTITY SEA
TYPE: marine_system
DESCRIPTION: Region of saline water partly enclosed by land or forming
part of the wider ocean system.
CONFIDENCE: 0.95
ENTITY OCEAN_BASIN
TYPE: oceanographic_structure
DESCRIPTION: Large structural depression containing ocean water and
seafloor features.
CONFIDENCE: 0.95
ENTITY WATER_MASS
TYPE: oceanographic_body
DESCRIPTION: Body of seawater with characteristic temperature,
salinity, density and formation history.
CONFIDENCE: 0.95
ENTITY CURRENT
TYPE: ocean_motion
DESCRIPTION: Persistent or semi-persistent movement of seawater driven
by wind, density gradients, tides or planetary rotation.
CONFIDENCE: 1.00
ENTITY OCEAN_CIRCULATION
TYPE: ocean_process
DESCRIPTION: Large-scale movement of seawater through currents, mixing,
overturning and exchange between ocean regions.
CONFIDENCE: 1.00
ENTITY THERMOHALINE_CIRCULATION
TYPE: ocean_circulation_system
DESCRIPTION: Density-driven ocean circulation influenced by temperature
and salinity differences.
CONFIDENCE: 0.95
ENTITY WAVE
TYPE: ocean_surface_motion
DESCRIPTION: Oscillatory motion of the ocean surface or internal ocean
layers transmitting energy.
CONFIDENCE: 1.00
ENTITY TIDE
TYPE: ocean_periodic_motion
DESCRIPTION: Periodic rise and fall of sea level caused primarily by
gravitational interaction with the Moon and Sun.
CONFIDENCE: 1.00
ENTITY SALINITY
TYPE: ocean_property
DESCRIPTION: Concentration of dissolved salts in seawater.
CONFIDENCE: 1.00
ENTITY SEA_SURFACE_TEMPERATURE
TYPE: ocean_property
DESCRIPTION: Temperature of the upper ocean surface layer.
CONFIDENCE: 1.00
ENTITY DENSITY
TYPE: ocean_property
DESCRIPTION: Mass per unit volume of seawater, influenced by
temperature, salinity and pressure.
CONFIDENCE: 1.00
ENTITY MARINE_ECOSYSTEM
TYPE: ecological_system
DESCRIPTION: Interacting community of marine organisms and their
physical and chemical environment.
CONFIDENCE: 1.00
ENTITY PHYTOPLANKTON
TYPE: marine_organism_group
DESCRIPTION: Photosynthetic microscopic organisms drifting in marine
waters.
CONFIDENCE: 0.95
ENTITY NUTRIENT
TYPE: ocean_chemical_component
DESCRIPTION: Dissolved chemical substance required for biological
growth in marine systems.
CONFIDENCE: 0.95
ENTITY COASTAL_ZONE
TYPE: marine_land_interface
DESCRIPTION: Dynamic boundary region where land, ocean and atmosphere
interact.
CONFIDENCE: 1.00
ENTITY CONTINENTAL_SHELF
TYPE: seafloor_structure
DESCRIPTION: Submerged extension of continental crust bordering land.
CONFIDENCE: 0.95
ENTITY SEAFLOOR
TYPE: geological_surface
DESCRIPTION: Ocean floor containing sediments, ridges, trenches,
shelves, slopes and abyssal plains.
CONFIDENCE: 1.00
ENTITY BATHYMETRY
TYPE: ocean_measurement
DESCRIPTION: Measurement and mapping of seafloor depth and shape.
CONFIDENCE: 1.00
ENTITY BUOY
TYPE: observation_instrument_system
DESCRIPTION: Floating platform used to measure oceanographic or
meteorological variables.
CONFIDENCE: 1.00
ENTITY ARGO_FLOAT
TYPE: observation_instrument
DESCRIPTION: Autonomous profiling float measuring ocean temperature,
salinity and depth.
CONFIDENCE: 1.00
OCEAN_SYSTEM_TYPES
Ocean
Sea
Ocean Basin
Continental Shelf
Continental Slope
Abyssal Plain
Mid-Ocean Ridge
Ocean Trench
Coastal Zone
Estuary
Lagoon
Coral Reef
Mangrove System
Kelp Forest
Deep Ocean
Surface Ocean
Mixed Layer
Thermocline
Halocline
Water Mass
Current System
Upwelling Zone
OCEAN_PROCESS_TYPES
Ocean Circulation
Thermohaline Circulation
Surface Current Flow
Deep Water Formation
Upwelling
Downwelling
Mixing
Stratification
Wave Propagation
Tidal Motion
Coastal Erosion
Sediment Transport
Sea-Level Change
Air-Sea Exchange
Evaporation
Heat Transport
Carbon Uptake
Ocean Acidification
Nutrient Cycling
Primary Production
Marine Food-Web Transfer
Seafloor Spreading
Hydrothermal Circulation
OCEAN_PROPERTY_TYPES
Temperature
Sea Surface Temperature
Salinity
Density
Pressure
Depth
Sea Level
Current Speed
Current Direction
Wave Height
Wave Period
Tide Height
Dissolved Oxygen
pH
Alkalinity
Nutrient Concentration
Chlorophyll Concentration
Turbidity
Sound Speed
Bathymetric Depth
Sediment Thickness
Carbon Concentration
Heat Content
Mixed Layer Depth
OCEANOGRAPHY_SUBDOMAINS
Physical Oceanography
Chemical Oceanography
Biological Oceanography
Geological Oceanography
Coastal Oceanography
Marine Geology
Marine Geophysics
Marine Ecology
Fisheries Oceanography
Climate Oceanography
Polar Oceanography
Deep-Sea Oceanography
Satellite Oceanography
Operational Oceanography
Estuarine Science
Ocean Modelling
RELATIONSHIP_TYPES
contains
part_of
instance_of
subclass_of
located_in
flows_into
moves_through
transports
mixes_with
exchanges_with
driven_by
influenced_by
forms_from
formed_in
supports
produces
consumes
absorbs
releases
dissolves
erodes
deposits
interacts_with
measured_by
observed_by
classified_as
has_temperature
has_salinity
has_density
has_depth
has_current_speed
has_wave_height
has_tide_height
has_unit
has_symbol
governed_by
described_by
derived_from
depends_on
RELATIONSHIPS
OCEANOGRAPHY studies OCEAN
TYPE: studies
CONFIDENCE: 1.00
OCEAN contains WATER_MASS
TYPE: contains
CONFIDENCE: 0.95
OCEAN contains MARINE_ECOSYSTEM
TYPE: contains
CONFIDENCE: 0.95
OCEAN contains SEAFLOOR
TYPE: contains
CONFIDENCE: 1.00
WATER_MASS has_property TEMPERATURE
TYPE: has_property
CONFIDENCE: 1.00
WATER_MASS has_property SALINITY
TYPE: has_property
CONFIDENCE: 1.00
WATER_MASS has_property DENSITY
TYPE: has_property
CONFIDENCE: 1.00
CURRENT transports HEAT
TYPE: transports
CONFIDENCE: 0.95
CURRENT transports SALT
TYPE: transports
CONFIDENCE: 0.95
OCEAN_CIRCULATION connects OCEAN_BASIN
TYPE: connects
CONFIDENCE: 0.90
THERMOHALINE_CIRCULATION driven_by DENSITY
TYPE: driven_by
CONFIDENCE: 0.95
DENSITY depends_on TEMPERATURE
TYPE: depends_on
CONFIDENCE: 1.00
DENSITY depends_on SALINITY
TYPE: depends_on
CONFIDENCE: 1.00
WAVE transports ENERGY
TYPE: transports
CONFIDENCE: 0.95
TIDE influenced_by MOON
TYPE: influenced_by
CONFIDENCE: 0.95
TIDE influenced_by SUN
TYPE: influenced_by
CONFIDENCE: 0.90
PHYTOPLANKTON produces PRIMARY_PRODUCTION
TYPE: produces
CONFIDENCE: 0.95
NUTRIENT supports PHYTOPLANKTON
TYPE: supports
CONFIDENCE: 0.90
MARINE_ECOSYSTEM depends_on WATER_QUALITY
TYPE: depends_on
CONFIDENCE: 0.90
COASTAL_ZONE interacts_with OCEAN
TYPE: interacts_with
CONFIDENCE: 1.00
COASTAL_ZONE interacts_with LAND
TYPE: interacts_with
CONFIDENCE: 1.00
SEAFLOOR contains SEDIMENT
TYPE: contains
CONFIDENCE: 0.95
BATHYMETRY measures SEAFLOOR
TYPE: measures
CONFIDENCE: 1.00
BUOY measures SEA_SURFACE_TEMPERATURE
TYPE: measures
CONFIDENCE: 1.00
ARGO_FLOAT measures TEMPERATURE
TYPE: measures
CONFIDENCE: 1.00
ARGO_FLOAT measures SALINITY
TYPE: measures
CONFIDENCE: 1.00
CANONICAL_EQUATION_REFERENCES
Density:
rho = m / V
Seawater_Density_Context:
rho = f(T, S, P)
Current_Speed:
v = d / t
Flow_Rate:
Q = A v
Wave_Speed:
c = lambda / T
Deep_Water_Wave_Speed:
c = sqrt(g lambda / 2pi)
Shallow_Water_Wave_Speed:
c = sqrt(g h)
Tide_Period_Context:
tidal_period depends on Earth-Moon-Sun geometry
Hydrostatic_Pressure:
P = rho g h
Residence_Time:
tau = V / Q
Heat_Content:
H = rho c_p V Delta_T
Carbon_Balance:
Delta_C = C_in - C_out
Salinity_Context:
S = mass_dissolved_salts / mass_seawater
CANONICAL_SYMBOL_REFERENCES
rho: Density
m: Mass
V: Volume
T: Temperature or wave period depending on context
S: Salinity
P: Pressure
v: Velocity or current speed
d: Distance
t: Time
Q: Flow rate
A: Cross-sectional area
c: Wave speed or specific heat depending on context
lambda: Wavelength
g: Gravitational acceleration
h: Water depth
pi: Pi
tau: Residence time
H: Heat content
c_p: Specific heat capacity at constant pressure
Delta_T: Temperature change
Delta_C: Change in carbon storage
C_in: Carbon input
C_out: Carbon output
UNIT_REFERENCES
metre
kilometre
square metre
cubic metre
second
hour
day
year
kelvin
degree Celsius
kilogram
gram
practical salinity unit
pascal
bar
metre per second
knot
cubic metre per second
joule
watt per square metre
milligram per litre
micromole per kilogram
pH unit
metre below sea level
sea level anomaly
percentage
parts per thousand
CONSTANT_REFERENCES
Gravitational Acceleration
Density of Seawater Context
Specific Heat Capacity of Seawater
Earth Rotation Rate
Coriolis Parameter Context
Standard Atmospheric Pressure
Solar Constant
Earth Radius
Lunar Gravitational Influence Context
Gas Constant
Speed of Sound in Seawater Context
ONTOLOGY_MODEL
Oceanography_Ontology :=
Ocean_Systems
+
Water_Masses
+
Ocean_Circulation
+
Waves_And_Tides
+
Ocean_Properties
+
Ocean_Chemistry
+
Marine_Ecosystems
+
Coastal_Systems
+
Seafloor_Systems
+
Observation_Instruments
+
Remote_Sensing_Data
+
Oceanographic_Models
+
Oceanographic_Equations
+
Oceanographic_Units
+
Oceanographic_Constants
+
Oceanographic_Symbols
+
Observational_Evidence
KNOWLEDGE_GRAPH_MODEL
NODE_TYPES
Domain
Subdomain
Ocean System
Marine System
Ocean Basin
Water Mass
Current
Wave
Tide
Coastal System
Marine Ecosystem
Marine Organism
Chemical Component
Seafloor Structure
Physical Quantity
Property
Instrument
Observation
Dataset
Remote Sensing Product
Model
Unit
Constant
Equation
Symbol
Theory
Evidence
EDGE_TYPES
contains
part_of
flows_into
moves_through
transports
mixes_with
exchanges_with
driven_by
influenced_by
forms_from
supports
produces
consumes
absorbs
releases
erodes
deposits
observed_by
measured_by
classified_as
located_in
depends_on
described_by
governed_by
derived_from
validates
INFERENCE_RULES
IF temperature, salinity and pressure are known
THEN seawater density may be inferred.
IF density differences exist between water masses
THEN circulation or stratification may be inferred.
IF current speed and cross-sectional area are known
THEN flow rate may be inferred.
IF wind stress acts on ocean surface
THEN surface current or wave generation may be inferred.
IF wave period and wavelength are known
THEN wave speed may be inferred.
IF ocean depth is shallow relative to wavelength
THEN shallow-water wave behaviour may be inferred.
IF sea surface temperature anomaly persists
THEN climate interaction or marine heatwave context may be inferred.
IF nutrient concentration and light availability are sufficient
THEN phytoplankton productivity may be inferred.
IF pH decreases with increased dissolved carbon dioxide
THEN ocean acidification context may be inferred.
IF bathymetry identifies ridge, trench or shelf morphology
THEN seafloor structure classification may be inferred.
IF satellite observation is used
THEN sensor type, resolution, wavelength band and acquisition date must be
preserved.
IF ocean model output is used
THEN model run, boundary conditions, grid resolution, assumptions and
uncertainty must be preserved.
SEMANTIC_EQUIVALENCE
Resolve equivalent concepts across:
oceanography / marine science context
ocean / marine water system
sea / regional ocean context
current / ocean flow context
circulation / large-scale ocean flow context
salinity / dissolved salt concentration context
sea surface temperature / ocean surface temperature
tide / periodic sea-level motion
wave / ocean surface oscillation context
bathymetry / seafloor depth mapping
plankton / drifting marine organism context
coastal zone / land-sea interface context
remote sensing / satellite ocean observation context
Do not merge concepts when:
ocean basin differs
water mass differs
depth range differs
coastal context differs from open ocean context
surface observation differs from subsurface measurement
satellite product differs from in situ observation
physical property differs from biological indicator
chemical measurement differs from ecological interpretation
model output differs from direct observation
time range differs
spatial resolution differs
CONSTRAINTS
Preserve distinction between observation and inference.
Preserve distinction between surface and subsurface ocean conditions.
Preserve distinction between open ocean and coastal systems.
Preserve distinction between physical, chemical, biological and geological
oceanography.
Preserve depth.
Preserve location.
Preserve ocean basin.
Preserve time range.
Preserve instrument context.
Preserve satellite resolution and acquisition date.
Preserve model run context.
Preserve units.
Preserve uncertainty.
Preserve provenance.
Do not treat model output as direct observation.
Do not treat satellite proxy as direct in situ measurement without context.
Do not treat correlation as causation without evidence.
Do not overwrite established oceanographic classification with speculative
interpretation.
CONFIDENCE_MODEL
1.00
Established definitional or structural oceanographic relationship.
0.90 - 0.99
Strongly supported observational, physical, chemical or biological
relationship.
0.70 - 0.89
Valid inference requiring model, location, depth or time context.
0.40 - 0.69
Possible interpretation requiring stronger evidence.
0.00 - 0.39
Speculative or weak association.
CROSS_DOMAIN_LINKS
Earth Science:
hydrosphere
climate system
water cycle
coastal processes
seafloor systems
Earth observation
Meteorology:
air-sea exchange
sea surface temperature
evaporation
storms
tropical cyclones
wind stress
atmospheric pressure
Physics:
fluid dynamics
pressure
buoyancy
wave motion
thermodynamics
heat transfer
rotation
Coriolis effect
Chemistry:
salinity
pH
dissolved oxygen
nutrients
carbon dioxide
alkalinity
ocean acidification
chemical cycling
Biology:
marine ecosystems
plankton
primary production
food webs
fisheries
coral reefs
biodiversity
Geology:
seafloor
bathymetry
sediments
mid-ocean ridges
trenches
hydrothermal vents
continental shelves
Mathematics:
vector fields
differential equations
fluid modelling
statistics
geospatial analysis
time-series analysis
uncertainty modelling
Artificial Intelligence:
ocean forecasting
remote sensing classification
current prediction
marine monitoring
anomaly detection
ecosystem modelling
hazard prediction
Holographic Space-Time:
boundary
fluid coherence
ocean circulation
pressure gradients
energy transfer
recursive planetary systems
AI_READING_ORDER
1. Identify this page as Oceanography Ontology.
2. Resolve Oceanography as a scientific domain.
3. Extract ocean system, water mass, circulation, wave, tide and coastal
classes.
4. Extract physical, chemical, biological and geological ocean properties.
5. Resolve observation instruments, remote sensing products and models.
6. Resolve units, constants, symbols and equations.
7. Build relationships between oceans, water masses, currents, ecosystems,
observations and models.
8. Distinguish direct observation, satellite proxy, inferred circulation,
biological indicator, chemical measurement, model output and theory.
9. Preserve provenance, uncertainty, location, depth, time range and
confidence.
10. Link Oceanography concepts to other Semantic Library domains.
AI_EXECUTION
READ
Entire flow.
RESOLVE
Domains
Ocean systems
Ocean basins
Seas
Water masses
Currents
Circulation systems
Waves
Tides
Coastal zones
Marine ecosystems
Chemical components
Seafloor structures
Observations
Instruments
Remote sensing products
Ocean models
Units
Constants
Symbols
Equations
PRESERVE
Authorship
Provenance
Confidence
Ocean basin
Geographic location
Depth
Time range
Observation date
Instrument context
Satellite resolution
Model run context
Measurement uncertainty
Domain boundaries
DO_NOT
Merge surface observation with subsurface measurement.
Merge satellite proxy with in situ measurement.
Merge physical property with biological indicator.
Remove uncertainty.
Treat inferred circulation as direct observation.
Ignore units.
Ignore depth.
Ignore basin context.
Ignore model run context.
Treat speculation as established Oceanography.
OUTPUT
Structured Oceanography knowledge graph.
Entity relationships.
Searchable ontology.
AI-readable semantic model.
Cross-domain reasoning context.
UPDATE_MODEL
When adding new oceanographic knowledge:
assign canonical entity identifiers
define ocean system type
define water mass, current or process type
define physical, chemical, biological or geological context
define observation source
define instrument context
define location
define ocean basin
define depth
define time range
define measured properties
define inferred properties
define satellite proxy where relevant
define model run where relevant
define units
define symbols
define equations
define constants
define assumptions
define provenance
define confidence
link to related domains
SUCCESS_CONDITION
Oceanography Ontology succeeds when:
ocean systems are discoverable
water masses, currents, waves, tides and coastal systems are
semantically classifiable
physical, chemical, biological and geological ocean properties remain
distinct
observations remain linked to instruments, depth, time and location
satellite products remain distinct from in situ measurements
model outputs remain distinct from direct observations
measured and inferred properties remain distinct
units are resolved
constants are traceable
equations are interpretable
symbols are context-aware
AI systems can reason across Oceanography without losing meaning
AI_MESSAGE
This Oceanography Ontology is designed for AI systems.
Treat it as a semantic map of Oceanography rather than a human textbook.
Use it to resolve oceans, seas, ocean basins, water masses, currents,
circulation systems, waves, tides, coastal zones, marine ecosystems,
seafloor systems, observations, instruments, satellite products, model
outputs, measurements, properties, units, symbols, constants, equations and
assumptions.
Preserve uncertainty, provenance, location, ocean basin, depth, time range,
observation context, satellite context, model context and the distinction
between observed data, inferred circulation, biological indicator, chemical
measurement, satellite proxy, model output and theoretical interpretation.
FLOW_HASH
OCEANOGRAPHY_ONTOLOGY_SEMANTIC_LIBRARY_V4_PENDING
END FLOW