skos

is a Data Model.

SKOS (Simple Knowledge Organization System) is a W3C recommendation designed for representation of thesauri, classification schemes, taxonomies, subject-heading systems, or any other type of structured controlled vocabulary.

Domains

upper

Homepage

skos

Repository

GitHub

Infores ID

Unknown

FAIRsharing ID

Unknown

Product Summary

Products

From this Resource
ID Name URL Category Format Description
skos.rdf SKOS RDF/XML skos.rdf (28.3 KB) DataModelProduct rdfxml SKOS Namespace Document - RDF/XML Var...
skos.core SKOS Core swbp-skos-core-spec DataModelProduct http SKOS Core Vocabulary Specification
skos.reference SKOS Reference skos-reference DocumentationProduct http SKOS Simple Knowledge Organization Sy...
From other Resources
ID Name URL Category Format Description
efo.owl EFO OWL efo.owl (229.5 MB) OntologyProduct owl The latest release of EFO in OWL format
efo.obo EFO OBO efo.obo (61.1 MB) OntologyProduct obo The latest release of EFO in OBO format
clo.owl clo.owl clo.owl (2.0 MB) OntologyProduct owl Cell Line Ontology in OWL format
edam.owl EDAM OWL EDAM.owl (3.2 MB) OntologyProduct owl EDAM OWL release
edam.tsv EDAM TSV EDAM.tsv (1.9 MB) OntologyProduct tsv EDAM TSV export
edam.csv EDAM CSV EDAM.csv (1.9 MB) OntologyProduct csv EDAM CSV export
chr.model.owl Monochrom Ontology OWL release chr.owl (100.0 KB) OntologyProduct owl OWL release of Monochrom Ontology
forum.graph.dump FORUM Knowledge Graph Dump share.tar.gz GraphProduct Downloadable knowledge graph dump in ...
openbiodiv.ontology.ttl OpenBioDiv-O openbiodiv-ontology-latest.ttl (8.0 KB) OntologyProduct ttl OpenBioDiv-O, the OpenBiodiv Ontology

Details

SKOS (Simple Knowledge Organization System)

SKOS (Simple Knowledge Organization System) is a W3C recommendation designed for representation of thesauri, classification schemes, taxonomies, subject-heading systems, or any other type of structured controlled vocabulary. SKOS is built upon RDF and RDFS, and its main objective is to enable easy publication and use of such vocabularies as linked data.

Overview

SKOS provides a model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, and other similar types of controlled vocabulary. As an application of the Resource Description Framework (RDF), SKOS allows concepts to be composed and published on the World Wide Web, linked with data on the Web and integrated into other concept schemes.

Core Features

  • Concepts and Concept Schemes: SKOS is based around concepts, which can be identified with URIs, labeled with lexical strings, assigned notations, documented with notes, linked to other concepts, and organized into informal hierarchies and association networks.

  • Semantic Relationships: SKOS provides properties for representing hierarchical (broader/narrower) and associative relations between concepts.

  • Multilingual Labels: SKOS allows concepts to be labeled in multiple languages, with properties for preferred, alternative, and hidden labels.

  • Concept Collections: Groups of concepts can be defined and labeled, with a loose notion of membership.

Common Use Cases

SKOS is widely used in:

  • Digital libraries for subject indexing
  • Knowledge management systems
  • Semantic Web applications
  • Linked Data initiatives
  • Vocabulary alignment and mapping projects

Relationship to Other Standards

SKOS complements other semantic web standards like OWL (Web Ontology Language) and provides a simpler approach for many knowledge organization tasks. It bridges the gap between formal knowledge representation languages like OWL and the chaotic, informal world of unstructured information.

Usage in Knowledge Graphs

SKOS is often used within knowledge graphs to organize concepts and provide a controlled vocabulary layer. Many domain-specific ontologies import SKOS concepts to support labeling and organizing their terms. It serves as a foundational vocabulary for semantic interoperability across different knowledge systems.

More Information

Is this information incorrect or incomplete? Request an update.

Created: June 25, 2025 | Last modified: February 20, 2026