Most information professionals already know: separation of content and presentation helps to manage and deliver complex information. This can only be done by using enriched structured content. Some call this intelligent content.
But why exactly is metadata per document (some call it “tagging”) not enough?
Here is a very brief slide-deck, which explains the difference between the traditional approach and the graph-based approach to develop not only a metadata layer seperated from the content layer, but also a knowledge layer on top of it.
Why semantic knowledge graphs matter
SKOS is at the intersection of three disciplines and their paradigms:
Whilst librarians, taxonomists, and specialists in the fields of text mining and entity extraction have started to embrace SKOS, especially ‘ontologists’ from artificial intelligence community still remain sceptical about the capabilities of SKOS.
With the latest release of PoolParty Thesaurus Server a full-blown ontology management facility has been introduced which can now be used to extend expressivity of SKOS knowledge models. For instance, SKOS concepts can become any other type of resource and by that schemas of additional relations and attributes can be applied to the concept.
PoolParty’s philosophy is to support users with Simple Knowledge Organization Systems (SKOS) first, to let them grow instantly by using various mechanisms like ontologies, text corpus analysis or linked data enrichment. All of them can nicely be combined. Users benefit from a step to step approach, not being bothered by an overarching approach from the very initial step. Learn more >>>