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CLARIAH/awesome-humanities-ontologies

  • What it is — A curated directory of ontologies, vocabularies, terminologies, and taxonomies for modelling and publishing Humanities datasets as Linked Data. It groups linked resources by areas including general entities, literary studies, cultural heritage/history, periodicals, musicology, language, and fiction studies.

  • Key concepts —

    • The collection treats persons, places, events, time, and documents as cross-domain modelling concerns.
    • Its entries cover provenance, argumentation, spatial and temporal description, events, bibliographic records, knowledge-organization systems, and structured web data.
    • Domain models include literary themes and intertextual relations; archaeology, museum, archival, rights, and person-name data; periodical enumeration and chronology; musical works, scores, MIDI, artists, albums, and tracks; lexicons and languages; and drama and narrative motifs.
    • Several listed resources are explicitly described as extensions or profiles of other models, such as CRMinf and CRMArcheo extending CIDOC CRM and Linked Art being a CIDOC-CRM application profile.

  • How you’d use it — Use the README as a categorized discovery list, follow a linked resource, and select a model appropriate to a Humanities dataset intended for Linked Data publication. Formats and tooling explicitly represented in the entries include RDF vocabulary/RDF Schema, OWL, SKOS, schema.org, and GeoSPARQL with spatial reasoning support in triple stores. Contributions are made by editing the README, using a link plus a minimal one-sentence description, and submitting a pull request.

  • LLM angle — none stated

  • Pitfalls & lessons — Contributors are told to follow the existing heading logic, avoid placing additions in General where possible, and add new categories to the table of contents. List entries should remain minimal, with one linked ontology and a one-sentence description.

  • Verdict — A domain-organized starting point for discovering Linked Data models across Digital Humanities, rather than documentation for one ontology.

Sources consulted

  • README.md
  • CONTRIBUTING.md