This site describes the RDF ontologies used by Macmillan Science and Education
for content publishing. We are sharing these in order to contribute to
the wider linked data community and to provide a public reference for
our data models.
Our aims at Macmillan Science and Education in embracing linked data technologies are:
To provide a superior content discovery experience for our audience and to facilitate emergent behaviours and interactions
To
evolve a data model which is highly responsive to new and legacy
business needs and can drive an in-flight publishing operation
Our aims at Macmillan Science and Education in embracing linked data technologies are:
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