Subject Taxonomy for the Media - the successor to the Subject Codes
Media Topics is a constantly updated taxonomy of over 1,200 terms with a focus on categorising text. Originally based on the IPTC Subject Codes taxonomy, the Media Topics taxonomy was first released in 2010 and is updated at least once a year. It is now available in 11 languages: Arabic, British English, Chinese, Danish, French, German, Norwegian, Portuguese (for Portugal and Brazil), Spanish and Swedish.
The Media Topics vocabulary can be viewed on the IPTC Controlled Vocabulary server at http://cv.iptc.org/newscodes/mediatopic. In addition it can be downloaded as a NewsML-G2 Knowledge Item, RDF/XML or RDF/Turtle document, please read the Guidelines. An Excel version of Media Topics and a more user-friendly tree-like view is also available.
We have recently created an IPTC NewsCodes Guidelines document which describes much more about how IPTC maintains Media Topics and the other IPTC NewsCodes controlled vocabularies.
Mappings between Media Topics and Subject Codes
The development of Media Topics started with the Subject Codes vocabulary, extended the tree from 3 to 5 levels and reused the same 17 top level terms. The lower level terms have been revised and rearranged. The Media Topics vocabulary provides a mapping back to the Subject Codes. The mappings are viewable as “Related Concept” entries on the controlled vocabulary server.
Mappings between Media Topics and Wikidata Concepts
We also maintain a set of mappings to related concepts from the Wikidata.org project where possible. These are also viewable as “Related Concept” entries on the controlled vocabulary server.
IPTC Spring Meeting 2022 - for IPTC members
- 16 - 18 May, 2022
Photo Metadata Conference 2022 - open to the public
IPTC Autumn Meeting 2022 - for IPTC members
- 17 - 19 October, 2022
Where else can you hear about the difficulties of examining photo metadata in NFTs, see a lifelike image of a human being generated from pure data before your eyes, see how Wikidata can be used to take semantic fingerprints of news articles, and discover that an hour is nowhere near long enough to discuss simplifying […]