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Knowledge Models for Media & Publishing

Benefit from taxonomies, ontologies and RDF schemes already available for the media & publishing industry. Annotate your content based on industry-compliant knowledge models and start recognising new business opportunities due to extensive content reuse and content syndication. 

BIBFRAME

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The ontology models the ecosystem around the publishing industry with a focus on bibliographic information. It provides classes around publishing formats, stakeholders as authors and distributors. The data model relies heavily on relationships between digital resources. It manages this by using controlled identifiers for things (people, places, languages, etc).

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Number of Classes: 6
Number of Properties and Relationships: approx. 200
Format: RDF
available in: English
License: not specified
Download: https://www.loc.gov/bibframe/implementation/index.html
Browse through the ontology

IPTC NewsCodes

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IPTC creates and maintains a controlled vocabulary to be assigned as metadata values to news objects like text, photographs, graphics, audio and video files and streams. This allows for a consistent coding of news metadata across news providers.

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Number of Classes: 17
Number of Properties and Relationships: 1.100
Format: RDF
available in: English
License: CC B.Y 4.0
Download: http://zbw.eu/stw/version/latest/download/
Browse through the Taxonomy

BBC Ontology

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The BBC Ontology supports BBC audience facing applications such as BBC Sport, BBC Education, BBC Music, News projects and more. It codifies the logic that connects web documents, BBC products and platforms for which content is available.

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Number of Classes: 7
Number of Properties: 10
Format: RDF
Available in: English
License:  Creative Commons Attribution 4.0 License
Download: https://www.bbc.co.uk/ontologies/bbc

PROV Ontology

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This W3C recommended ontology provides a data model for provenance information for digital resources in different systems. It covers things and relations as authoring, versioning and distribution of digital assets. PROV-O is generic and usable for different industries handling large media repositories.

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Number of Classes: 30
Number of Relations & Attributes: 50
Format: OWL
Available in: English
License:  W3C Copyright
Download: https://www.w3.org/ns/prov-o.owl
Browse through the Ontology

ODRL – The Open Digital Rights Language

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This ontology provides a flexible and interoperable information model to support the transparent and innovative use of digital assets about the usage of content and services. It includes a core model, a common vocabulary, and encoding mechanisms.

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Number of Classes: 5
Number of Concepts: approx. 100
Format: RDF, XML and JSON-LD
Available in: English
License:  Creative Commons Profile
Download: https://www.w3.org/ns/odrl/2/ODRL22.html

 Free Download: This symbol indicates that the vocabulary can be downloaded for free provided by the publisher.
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read only: This symbol indicates that you can only browse the knowledge model.

More than 2.700 Vocabularies available

We are proud to partner with Bartoc – the leading global taxonomy and ontology library. Check it out for more knowledge modelling resources.

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