Congratulations!!! great news.
Luis El vie, 7 oct 2022 a las 8:19, Bruno Kinoshita (<[email protected]>) escribió: > 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 <[email protected]> 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 > > [email protected] > > > > David Habgood > > [email protected] > > >
