I have been working for a while on a project, called "oceania.digital", to convert metadata from DigitalNZ (and also the National Library of Australia's "Trove" service, as well as some other sources) into a web of Linked Data. It's taken a long time to work through a bunch of problems (moreso with Trove than with DigitalNZ).
But finally, over just the last couple of weeks I have successfully downloaded about 3.8M item records from DigitalNZ, converted those records into RDF graphs, and stored them in a SPARQL graph store. That's everything but the newspapers (for now).
Currently the mapping to RDF is super-simplistic; a DigitalNZ "field" is mapped directly to an RDF property. In other words, the DigitalNZ schema effectively defines a "DigitalNZ" ontology. One interesting result already is that the set of fields in the DigitalNZ API includes several which are not documented publicly.
Fields whose name ends with "-url" are converted to RDF object properties (in some cases the value is tweaked to make it a valid URI). Other fields become integer or dateTime properties if the DigitalNZ API flags them as such; otherwise they are strings. The source code for this conversion is here:
Next steps are to analyse the dataset and work out a better mapping to some well-known ontology. I believe that, although DigitalNZ have mapped a huge number of data sources to their schema, the descriptive vocabularies used are still rather specific to each provider. I expect there'll be a need for a lot of mapping (e.g. skos:closeMatch, etc) to make those vocabularies actually align.
The project website is here:
http://oceania.digital/ though no actual functionality is available yet. In particular, you can't browse or search the data (I will get to that next week, with luck).
However, there is a backup of the RDF available for download at
http://oceania.digital/backups/ if anyone is interested to have a look. The backup is a gzipped nquads file (produced by Fuseki's backup operation, and suitable for restoring using Jena tdbloader). The file is 1.1GB to download and about 14.5GB when uncompressed.
Con