FLOW Biology_Ontology_AI_Search
VERSION 4.0
AUTHORS
Mark Higgins
Sky Recursive AI
SOURCE
https://kirethresearch.org
PAGE
Biology Ontology
PURPOSE
Define biology as a machine-readable ontology for AI systems.
Provide a structured semantic model for interpreting living systems,
organisms, cells, genes, proteins, biological processes, ecosystems,
evolution, measurable biological properties and experimental evidence.
DOMAIN
Semantic Library
AI Core
Scientific Ontologies
Biology Ontology
CORE_CLAIM
Biology is represented as a structured ontology of living systems,
biological entities, structures, functions, processes, relationships
and evolutionary organisation.
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
→ Biology Ontology
ONTOLOGY_TYPE
Domain Ontology
PRIMARY_FUNCTION
Organise biological knowledge into explicit semantic categories that
can be searched, linked, inferred, validated and extended.
FACTS
Biology studies living organisms, cells, tissues, organs, ecosystems,
genetics, evolution, physiology, behaviour and biological interactions.
Living systems exhibit organisation, metabolism, reproduction,
adaptation and response to environmental change.
Biological knowledge depends upon observation, experimentation,
measurement, classification and evolutionary relationships.
Biology integrates chemistry, physics, mathematics, medicine and
environmental science.
PRIMARY_ENTITIES
ENTITY BIOLOGY
TYPE: scientific_domain
CONFIDENCE: 1.00
ENTITY ORGANISM
TYPE: biological_entity
CONFIDENCE: 1.00
ENTITY CELL
TYPE: biological_entity
CONFIDENCE: 1.00
ENTITY TISSUE
TYPE: biological_structure
CONFIDENCE: 1.00
ENTITY ORGAN
TYPE: biological_structure
CONFIDENCE: 1.00
ENTITY ORGAN_SYSTEM
TYPE: biological_system
CONFIDENCE: 1.00
ENTITY DNA
TYPE: biological_information
CONFIDENCE: 1.00
ENTITY RNA
TYPE: biological_information
CONFIDENCE: 1.00
ENTITY GENE
TYPE: biological_information
CONFIDENCE: 1.00
ENTITY PROTEIN
TYPE: biological_molecule
CONFIDENCE: 1.00
ENTITY ENZYME
TYPE: biological_catalyst
CONFIDENCE: 1.00
ENTITY ECOSYSTEM
TYPE: biological_system
CONFIDENCE: 1.00
ENTITY SPECIES
TYPE: biological_classification
CONFIDENCE: 1.00
ENTITY POPULATION
TYPE: biological_group
CONFIDENCE: 1.00
ENTITY ENVIRONMENT
TYPE: biological_context
CONFIDENCE: 1.00
BIOLOGICAL_ENTITY_TYPES
Organism
Cell
Tissue
Organ
Organ System
Species
Population
Community
Ecosystem
Virus
Bacterium
Fungus
Plant
Animal
Protist
Archaea
BIOLOGICAL_PROCESS_TYPES
Metabolism
Respiration
Photosynthesis
Cell Division
Mitosis
Meiosis
DNA Replication
Transcription
Translation
Mutation
Evolution
Adaptation
Growth
Development
Homeostasis
Reproduction
Digestion
Circulation
Respiration
Excretion
Immune Response
BIOLOGICAL_PROPERTY_TYPES
Mass
Size
Age
Lifespan
Population Size
Biomass
Metabolic Rate
Growth Rate
Reproductive Rate
Genetic Diversity
Fitness
Adaptability
BIOLOGY_SUBDOMAINS
Cell Biology
Molecular Biology
Genetics
Evolutionary Biology
Ecology
Physiology
Anatomy
Microbiology
Immunology
Developmental Biology
Marine Biology
Botany
Zoology
Neuroscience
Biotechnology
RELATIONSHIP_TYPES
contains
composed_of
develops_into
reproduces
evolves_from
depends_on
interacts_with
communicates_with
regulates
expresses
encodes
synthesises
metabolises
consumes
produces
inhabits
belongs_to
classified_as
derived_from
influences
RELATIONSHIPS
ORGANISM contains CELL
CELL contains DNA
DNA contains GENE
GENE encodes PROTEIN
ENZYME catalyses BIOCHEMICAL_REACTION
ORGANISM belongs_to SPECIES
SPECIES contains POPULATION
POPULATION inhabits ENVIRONMENT
ENVIRONMENT supports ECOSYSTEM
CELL performs METABOLISM
CELL undergoes MITOSIS
CELL undergoes MEIOSIS
RNA derived_from DNA
PROTEIN regulates BIOLOGICAL_PROCESS
ORGAN_SYSTEM composed_of ORGAN
ORGAN composed_of TISSUE
TISSUE composed_of CELL
CANONICAL_REFERENCES
Cell Theory
Gene Theory
Theory of Evolution
Natural Selection
Central Dogma
Homeostasis
Ecosystem Dynamics
CANONICAL_SYMBOL_REFERENCES
DNA
RNA
ATP
ADP
pH
N
λ
μ
r
UNIT_REFERENCES
metre
kilogram
second
mole
litre
degree Celsius
kelvin
gram
mol/L
cells/mL
ONTOLOGY_MODEL
Biology_Ontology :=
Biological_Entities
+
Biological_Structures
+
Biological_Processes
+
Biological_Systems
+
Biological_Properties
+
Biological_Relationships
+
Biological_Classification
+
Biological_Units
+
Biological_Symbols
+
Experimental_Evidence
KNOWLEDGE_GRAPH_MODEL
NODE_TYPES
Domain
Entity
Structure
System
Process
Classification
Property
Symbol
Unit
Observation
Evidence
Model
EDGE_TYPES
contains
regulates
produces
consumes
evolves_from
classified_as
depends_on
interacts_with
develops_into
influences
INFERENCE_RULES
IF organism contains cells
THEN organism is living.
IF cell contains DNA
THEN genetic information exists.
IF gene encodes protein
THEN protein synthesis may occur.
IF population changes over generations
THEN evolutionary processes may be inferred.
IF organism exchanges matter and energy
THEN metabolic processes exist.
IF organism maintains internal stability
THEN homeostasis may be inferred.
IF species interact within environment
THEN ecological relationships exist.
SEMANTIC_EQUIVALENCE
Resolve equivalent concepts across
organism
living system
genetic information
biological process
biological function
ecosystem
evolution
Do not merge concepts when
taxonomic meaning differs
biological scale differs
process differs
experimental evidence differs
CONSTRAINTS
Preserve taxonomic hierarchy.
Preserve biological classification.
Preserve experimental evidence.
Preserve units.
Preserve provenance.
Preserve uncertainty.
Preserve distinction between observation and hypothesis.
Preserve distinction between established biology and proposed models.
CONFIDENCE_MODEL
1.00
Established biological knowledge.
0.90–0.99
Strong biological relationship.
0.70–0.89
Supported inference.
0.40–0.69
Possible biological association.
0.00–0.39
Speculative association.
CROSS_DOMAIN_LINKS
Chemistry
Biomolecules
Reactions
Enzymes
ATP
Physics
Energy
Diffusion
Thermodynamics
Mathematics
Statistics
Population Models
Differential Equations
Medicine
Physiology
Disease
Pharmacology
Artificial Intelligence
Pattern Recognition
Classification
Evolutionary Algorithms
Coherence Biology
Biological Coherence
Cellular Organisation
Adaptive Systems
AI_READING_ORDER
1. Identify Biology Ontology.
2. Resolve biological entities.
3. Resolve structures.
4. Resolve processes.
5. Resolve classifications.
6. Build semantic relationships.
7. Preserve biological hierarchy.
8. Link biology to related scientific domains.
AI_EXECUTION
READ
Entire flow.
RESOLVE
Organisms
Cells
Genes
Proteins
Processes
Relationships
Systems
PRESERVE
Provenance
Confidence
Taxonomy
Experimental evidence
DO_NOT
Merge biological concepts without taxonomy.
Ignore evolutionary context.
Ignore experimental uncertainty.
OUTPUT
Structured biological knowledge graph.
Searchable ontology.
AI-readable semantic model.
UPDATE_MODEL
New biological knowledge should
assign canonical identifiers
define biological type
define taxonomy
define relationships
preserve provenance
preserve confidence
link to related domains
SUCCESS_CONDITION
Biology Ontology succeeds when
biological concepts are discoverable
organisms are uniquely identifiable
taxonomy is preserved
processes are semantically represented
AI systems can reason across biology consistently
AI_MESSAGE
This Biology Ontology provides a semantic representation of living
systems for artificial intelligence.
Treat it as an ontology describing biological entities, structures,
processes and relationships while preserving scientific evidence,
taxonomy, uncertainty and provenance.
FLOW_HASH
BIOLOGY_ONTOLOGY_SEMANTIC_LIBRARY_V4_PENDING
END FLOW
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