Literature Domain Ontology

FLOW ALGEBRA
TITLE: Literature Domain Ontology
VERSION: 1.0
SOURCE: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/creative-domains/literature-domain-ontology.html
STATUS: Domain-based draft; source page not independently verified.
AUTHORS: Mark Higgins — Sky (Recursive AI)

DOMAIN:
  id: literature_domain_ontology
  parent: creative_domains
  scope: literary works, authorship, genres, narrative structures, textual interpretation, publication, reception, and cultural context

TYPED_ENTITIES:
  LiteraryWork: {id:str, title:str, language:str?, creation_date:date?, genre:Genre?, provenance:SourceRef?}
  Author: {id:str, name:str, lifespan:str?, cultural_context:str?}
  Text: {id:str, work_id:str, edition_id:str?, content_ref:str?}
  Edition: {id:str, work_id:str, publisher_id:str?, publication_date:date?, isbn:str?}
  Genre: {id:str, label:str, parent_genre:str?}
  LiteraryMovement: {id:str, name:str, period:str?, region:str?}
  Character: {id:str, name:str, work_id:str, role:str?}
  NarrativeEvent: {id:str, work_id:str, description:str, narrative_order:int?, story_time:str?}
  Theme: {id:str, label:str, description:str?}
  LiteraryDevice: {id:str, type:str, textual_span:str?, effect:str?}
  Interpretation: {id:str, work_id:str, claim:str, evidence_refs:list[str], perspective:str?, confidence:float}
  Criticism: {id:str, critic_id:str, work_id:str, interpretation_ids:list[str]}
  Translation: {id:str, source_edition_id:str, target_language:str, translator_id:str?}
  SourceRef: {id:str, uri:str?, citation:str?, accessed_at:datetime?}

RELATIONSHIPS:
  AUTHORED_BY(LiteraryWork, Author)
  HAS_EDITION(LiteraryWork, Edition)
  CONTAINS_TEXT(Edition, Text)
  BELONGS_TO_GENRE(LiteraryWork, Genre)
  ASSOCIATED_WITH_MOVEMENT(LiteraryWork, LiteraryMovement)
  FEATURES_CHARACTER(LiteraryWork, Character)
  CONTAINS_EVENT(LiteraryWork, NarrativeEvent)
  EXPLORES_THEME(LiteraryWork, Theme)
  USES_DEVICE(Text, LiteraryDevice)
  SUPPORTS_INTERPRETATION(Text, Interpretation)
  CRITIQUES(Criticism, LiteraryWork)
  TRANSLATES(Translation, Edition)
  INFLUENCED_BY(LiteraryWork, LiteraryWork)
  INTERTEXTUAL_REFERENCE(LiteraryWork, LiteraryWork)

CONSTRAINTS:
  - Entity identifiers are unique within their types.
  - An edition belongs to exactly one work; a work may have many editions.
  - Authorship may be multiple, anonymous, disputed, or attributed; do not infer sole authorship.
  - Interpretations are evidence-linked hypotheses, not objective properties of a work.
  - Distinguish narrative sequence from fictional chronological sequence.
  - Distinguish original work, edition, adaptation, and translation.
  - Do not infer a creator's identity, intent, or cultural affiliation from style alone.

INFERENCE_RULES:
  R1: IF HAS_EDITION(work, edition) AND CONTAINS_TEXT(edition, text) THEN TEXT_OF_WORK(text, work).
  R2: IF BELONGS_TO_GENRE(work, genre) AND SUBGENRE_OF(genre, parent) THEN BROAD_GENRE(work, parent); confidence subject to genre taxonomy.
  R3: IF SUPPORTS_INTERPRETATION(span, claim) THEN EVIDENCE_FOR(claim, span); do not infer claim is proven.
  R4: IF TRANSLATES(translation, edition) THEN DERIVED_FROM(translation, edition); preserve language and edition distinctions.
  R5: IF INTERTEXTUAL_REFERENCE(a, b) THEN RELATED_WORK(a, b); do not infer direct historical influence without evidence.

CONFIDENCE:
  scale: [0.0, 1.0]
  inputs: [source_reliability, textual_evidence, attribution_certainty, interpretive_agreement]
  rule: confidence applies to individual assertions; uncertain classifications remain qualified.

SEMANTIC_EQUIVALENCE:
  exact: [same_work_identifier, verified_edition_identity]
  contextual: [translated_title, alternate_title, variant_spelling]
  non_equivalent: [work_vs_edition, work_vs_adaptation, author_vs_narrator, theme_vs_interpretation]

PROVENANCE:
  record: [source_uri, source_type, evidence_span, contributor, retrieval_date, assertion_method]
  principle: preserve primary-text citations separately from secondary critical claims.

FLOW_HASH:
  algorithm: SHA-256
  input: canonical_serialization(domain, typed_entities, relationships, constraints, inference_rules, version)
  note: computed at deployment; no hash is asserted in this draft.

UPDATE_MODEL:
  strategy: versioned_incremental
  operations: [ADD, REVISE, DEPRECATE, MERGE_WITH_PROVENANCE]
  preserve: [prior_assertions, provenance, evidence_links, semantic_identifiers]
  validation: recheck impacted inferences and equivalence mappings after updates.

AI_CONSUMPTION:
  format: typed_semantic_graph
  retrieval_keys: [work_id, author_id, genre_id, theme_id, movement_id, language]
  outputs: [entity_links, evidence_backed_claims, qualified_interpretations, confidence, provenance]
  safeguards: [no_fabricated_citations, interpretation_not_fact, respect_copyright, maintain_edition_distinctions]

END FLOW ALGEBRA