From the webpage:
The news ontology is comprised of several ontologies, which describe assets (text, images, video) and the events and entities (people, places, organisations, abstract concepts etc.) that appear in news content. The asset model is the representation of news content as digital assets created by a news provider (e.g. text, images, video and data such as csv files). The domain model is the representation of the ‘real world’ which is the subject of news. There are simple entities, which we have labelled with the amorphous term of ‘stuff‘ and complex entities. Currently, the only complex entity the ontology is concerned with is events. The term stuff has been used to include abstract and intangible concepts (e.g. Feminism, Love, Hate Crime etc.) as well as tangible things (e.g. Lord Ashdown, Fiat Punto, Queens Park Rangers).
Assets (news content) are about things in the world (the domain model). The connection between assets and the entities that appear in them is made using tags. Assets are further holistically categorised using classification schemes (e.g. IPTC Media Topic Codes, Schema.org Vocabulary or Press Association Categorisations).
No sooner had I seen that on the LOD list, than Stephanie Corlosquet pointed out rNews, another ontology for news.
From the rNews webpage:
rNews is a proposed standard for using RDFa to annotate news-specific metadata in HTML documents. The rNews proposal has been developed by the IPTC, a consortium of the world’s major news agencies, news publishers and news industry vendors. rNews is currently in draft form and the IPTC welcomes feedback on how to improve the standard in the rNews Forum.
I am sure there are others.
Although I rather like stuff as an alternative to SUMO’s thing or was that Cyc?
The point being that mapping strategies, when the expense can be justified, are the “answer” to the semantic diversity and richness of human discourse.