Photography Domain Ontology

FLOW ALGEBRA
Photography Domain Ontology — Kireth Semantic Library
Version: 1.0
Source: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/creative-domains/photography-domain-ontology.html
Status: Domain-based ontology draft; source page contents not independently verified.
Authors: Mark Higgins — Sky (Recursive AI)

flow "PhotographyDomainOntology" v1.0

DOMAIN:
  id: creative.photography
  name: Photography Domain Ontology
  parent: creative-domains
  description: Typed conceptual and relational framework for photographs, photographic processes, practitioners, equipment, image interpretation, and preservation.

ENTITY_TYPES:
  Photographer: {fields: [id, name, role, attribution, provenance]}
  Photograph: {fields: [id, title, creator_id, capture_datetime, location_id, format, rights_id, provenance]}
  PhotographicSeries: {fields: [id, title, photograph_ids, theme]}
  Camera: {fields: [id, camera_type, sensor_or_film_format]}
  Lens: {fields: [id, focal_length, maximum_aperture, lens_type]}
  Exposure: {fields: [id, shutter_speed, aperture, iso, exposure_compensation]}
  LightingSetup: {fields: [id, light_sources, direction, quality, colour_temperature]}
  Composition: {fields: [id, framing, viewpoint, depth_of_field, focal_point]}
  Subject: {fields: [id, subject_type, description]}
  Genre: {fields: [id, name, conventions]}
  Technique: {fields: [id, name, procedure]}
  EditingProcess: {fields: [id, operations, software, reversible]}
  ImageFile: {fields: [id, format, resolution, colour_space, checksum]}
  RightsStatement: {fields: [id, copyright_holder, licence, usage_restrictions]}
  Archive: {fields: [id, collection, preservation_policy]}
  Location: {fields: [id, geographic_reference, precision]}
  Publication: {fields: [id, medium, publication_date]}

RELATIONSHIPS:
  CREATES: Photographer -> Photograph
  BELONGS_TO_SERIES: Photograph -> PhotographicSeries
  CAPTURED_WITH: Photograph -> Camera
  USES_LENS: Camera -> Lens
  HAS_EXPOSURE: Photograph -> Exposure
  USES_LIGHTING: Photograph -> LightingSetup
  HAS_COMPOSITION: Photograph -> Composition
  DEPICTS: Photograph -> Subject
  CLASSIFIED_AS: Photograph -> Genre
  APPLIES_TECHNIQUE: Photograph -> Technique
  PROCESSED_BY: Photograph -> EditingProcess
  REPRESENTED_BY: Photograph -> ImageFile
  GOVERNED_BY: Photograph -> RightsStatement
  PRESERVED_IN: ImageFile -> Archive
  CAPTURED_AT: Photograph -> Location
  PUBLISHED_IN: Photograph -> Publication
  DERIVED_FROM: ImageFile -> ImageFile

CONSTRAINTS:
  - Photograph.id must be unique within the ontology namespace.
  - A derived image must retain a traceable link to its source when known.
  - Capture time, geographic location and attribution may be unknown; never fabricate them.
  - Copyright ownership and licence are separate attributes.
  - A depicted subject is an interpretation and may require confidence and provenance.
  - Preserve distinction between optical capture, computational processing and generative synthesis.

INFERENCE_RULES:
  - id: photo_creator
    when: ["CREATES(person, photo)"]
    then: ["creator(photo, person)"]
    condition: "relationship has documented provenance"
  - id: image_derivation
    when: ["REPRESENTED_BY(photo, file_a)", "DERIVED_FROM(file_b, file_a)"]
    then: ["representation_variant(file_b, photo)"]
    condition: "derivation is verified"
  - id: archive_traceability
    when: ["REPRESENTED_BY(photo, file)", "PRESERVED_IN(file, archive)"]
    then: ["archived_in(photo, archive)"]
  - id: exposure_relationship
    when: ["HAS_EXPOSURE(photo, exposure)"]
    then: ["exposure_metadata_available(photo)"]
    condition: "exposure metadata is measured or documented, not guessed"

CONFIDENCE:
  range: [0.0, 1.0]
  levels: {high: [0.85, 1.0], medium: [0.60, 0.85], low: [0.0, 0.60]}
  note: Confidence represents evidence support, not aesthetic quality or truth by itself.
  require: [claim_id, score, evidence_reference, method]

SEMANTIC_EQUIVALENCE:
  - [photograph, photographic_image]
  - [shutter_speed, exposure_time]
  - [f_number, aperture_f_number]
  note: Equivalence is context-bound; do not equate photograph with every digital image.

PROVENANCE:
  required_fields: [source_uri, author_or_custodian, retrieval_or_creation_date, method, revision]
  integrity: "retain original metadata and record transformations"

FLOW_HASH:
  algorithm: SHA-256
  input: canonical_serialisation_of_ontology_and_version
  generation: compute_on_publication
  value: pending

UPDATE_MODEL:
  versioning: semantic
  change_types: [add_entity, modify_relationship, revise_rule, deprecate_term, update_evidence]
  rules:
    - Preserve backward compatibility where possible.
    - Record changelog and provenance for each revision.
    - Recalculate FLOW_HASH after canonical content changes.
    - Reassess dependent inference claims after rule changes.

AI_CONSUMPTION:
  supported_tasks: [entity_extraction, image_metadata_interpretation, semantic_search, knowledge_graph_linking, provenance_tracking, archive_discovery]
  output_requirements: [typed_entities, typed_relationships, evidence, confidence, uncertainty]
  safeguards:
    - Distinguish observed metadata from inferred visual interpretation.
    - Avoid identifying real people from photographs without appropriate authority and evidence.
    - Respect copyright, privacy and sensitive-location restrictions.
    - Do not treat image aesthetics as objective measurements.

END FLOW