Hi Nick, It is looking really good! I wish (and hope) someone would do the same for NZ data (digitalNZ/Stats/at/etc). Looks like you used GeoSPARQL too, it is the first time I accessed a service with it (that was not just dev/research), I think.
Great work! -Bruno On Fri, 7 Oct 2022 at 18:39, Nicholas Car <n...@kurrawong.net> wrote: > Dear Jena users, > > I'm happy to announce that the Australian government now has a series of > large spatial datasets delivered as Linked Data via web APIs that use > Fuseki as the back end in production. This is the firts operation phase of > a long-term semantic spatial data layer for Australia. > > The data is significant: authoritative census counting geometries, > hydrological catchment areas and so on. The census spatial feature > collections are online at: > > https://asgs.linked.fsdf.org.au/dataset/asgsed3/collections > > A single census region: > https://asgs.linked.fsdf.org.au/dataset/asgsed3/collections/SA1/items/10102100710 > > The largest dataset, the Geocoded National Address file, has 14.5M > addresses (all Australian street addresses) with perhaps 50 triples each > running well on a single GeoFuseki instance with GeoSPARQL indexing: > > Feature Collections: > https://gnaf.linked.fsdf.org.au/dataset/gnaf/collections > Address FC: > https://gnaf.linked.fsdf.org.au/dataset/gnaf/collections/addresses > Addresses: > https://gnaf.linked.fsdf.org.au/dataset/gnaf/collections/addresses/items > An Address object: > https://gnaf.linked.fsdf.org.au/dataset/gnaf/collections/addresses/items/GANSW718188625 > > The data from these APIs provide the points-of-truth for national spatial > dataset object identity, e.g. the address above with the persistent IRI of: > > https://linked.data.gov.au/dataset/gnaf/address/GANSW718188625 > > We are also testing the use of all the various datasets combined in a > Digital Atlas of Australia Analytics Platform. That will see complex SPARQL > qrieries posed against all the data with geospatial and text filtering, for > which we will soon implement Fuseki Lucene text indexes on top of the > GeoSPARQL indexes. > > We have spent a fair bit of time getting RDF generation from non-RDF > sources right, running RIOT tooling to check and load RDF data and to build > various indexes, mostly in AWS cloud infrastructure. We thank: > > * Stian Soiland-Reyes > * Zazuko > * Finland's Semantic Computing Research Group > > ...for their Fuseki containerisation that has made this relatively easy. > > Of course, we thank Andy Seabourne and the Apache Foundation for > Jena/Fuseki itself! > > Regards, > > Nicholas Car > n...@kurrawong.net > > David Habgood > dcchabg...@gmail.com >
