doco

is a Ontology.

DOCO (Document Components Ontology) is an OWL ontology for describing the structural and rhetorical components of documents. It is part of the SPAR (Semantic Publishing and Referencing) Ontologies suite and provides a vocabulary for semantic annotation of document structure.

Domains

literature

License

CC BY 4.0

Homepage

doco

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
doco.owl DOCO Ontology (OWL) 2015-07-03_doco-1_3.owl (65.8 KB) OntologyProduct owl DOCO ontology in OWL/RDF format
From other Resources
ID Name URL Category Format Description
openbiodiv.ontology.ttl OpenBioDiv-O openbiodiv-ontology-latest.ttl (8.0 KB) OntologyProduct ttl OpenBioDiv-O, the OpenBiodiv Ontology

Details

Document Components Ontology (DOCO)

DOCO is an OWL ontology for describing the structural and rhetorical components of documents, enabling machine-readable representation of document structure including pages, sections, paragraphs, and other textual elements.

Overview

The Document Components Ontology (DOCO) is part of the SPAR (Semantic Publishing and Referencing) Ontologies suite and provides a vocabulary for semantic annotation of document structure and rhetorical components. It was described in the paper “The Document Components Ontology (DOCO): Ontology and Use Cases” (Peroni et al., 2015) and has become important in academic publishing, digital humanities, and knowledge graph applications where structured document metadata is essential.

Key Features

  • Describes document structure (parts, sections, paragraphs, pages)
  • Defines rhetorical and discourse elements (abstract, introduction, conclusions)
  • Enables semantic annotation of document components
  • OWL-based ontology for integration with other semantic web technologies
  • Part of the larger SPAR ontologies ecosystem for scholarly communication

Use Cases

  • Academic publishing and scholarly communication
  • Document structure preservation in knowledge graphs
  • Semantic annotation of academic literature
  • Text mining and natural language processing workflows
  • Digital humanities and document digitization projects

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Created: December 17, 2025 | Last modified: January 05, 2026