SN SciGraph data model aims at being comprehensive and expressive, yet simple and intuitive. Its main goal (in accordance with the LOUD principles) is to make it easier for people to understand and reuse our datasets within other projects.
The data model is encoded using the Resource Description Framework language which is used for representing Linked Data on the web. RDF is an abstract model which allows for number of serializations, e.g. Turtle, N-Triples, RDF-XML, JSON-LD etc..
SN SciGraph uses JSON-LD as its canonical serialization. JSON-LD is a fully compliant JSON format, meaning that data can be processed using all the standard JSON tools and libraries, even without any prior knowledge of Linked Data and RDF.
The SN SciGraph model follows the Schema.org specifications.
There are 8 main classes, only one of which (Patent) required the creation of an ad-hoc entity type (by subclassing schema:CreativeWork) as it did not exist in schema.org. The remaining seven follow closely the vocabulary and semantics specified on the schema.org site.
For more examples, datasets statistics and identifiers information, see the Datasets: At a Glance page.
Namespaces and other specifications are represented using SciGraph's default JSON-LD context.