research-article

SKOS core: simple knowledge organisation for the web

Authors:

Alistair Miles,

Brian Matthews,

Michael Wilson, and

Dan BrickleyAuthors Info & Claims

DCMI '05: Proceedings of the 2005 international conference on Dublin Core and metadata applications: vocabularies in practice

September 2005

Article No.: 1, Pages 1 - 9

Published: 12 September 2005 Publication History

Abstract

This paper introduces SKOS Core, an RDF vocabulary for expressing the basic structure and content of concept schemes (thesauri, classification schemes, subject heading lists, taxonomies, terminologies, glossaries and other types of controlled vocabulary). SKOS Core is published and maintained by the W3C Semantic Web Best Practices and Deployment Working Group. The main purpose of this paper is to provide an initial basis for establishing clear recommendations for the use of SKOS Core and DCMI Metadata Terms in combination. Also discussed are management policies for SKOS Core and other RDF vocabularies, and the relationship between a 'SKOS concept scheme' and an 'RDFS/OWL ontology'.

References

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Bobasheva AGandon FPrecioso F(2022)Learning and Reasoning for Cultural Metadata Quality: Coupling Symbolic AI and Machine Learning over a Semantic Web Knowledge Graph to Support Museum Curators in Improving the Quality of Cultural Metadata and Information RetrievalJournal on Computing and Cultural Heritage 10.1145/348584415:3(1-23)Online publication date: 16-Sep-2022
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cover image Guide Proceedings

DCMI '05: Proceedings of the 2005 international conference on Dublin Core and metadata applications: vocabularies in practice

September 2005

229 pages

ISBN:8489315442

Publisher

Dublin Core Metadata Initiative

Publication History

Published: 12 September 2005

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Cited By

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https://dl.acm.org/doi/10.1145/3606706
Bobasheva AGandon FPrecioso F(2022)Learning and Reasoning for Cultural Metadata Quality: Coupling Symbolic AI and Machine Learning over a Semantic Web Knowledge Graph to Support Museum Curators in Improving the Quality of Cultural Metadata and Information RetrievalJournal on Computing and Cultural Heritage 10.1145/348584415:3(1-23)Online publication date: 16-Sep-2022
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