<div>A set of Foundation Spatial Data Framework (FSDF) datasets built as Linked-Data RDF triples. Includes Electrical Infrastructure, Emergency Facilities, and Placenames. (Sits alongside other Geoscience RDF data bases and their APIs). An API built over this RDF database supplies mapped detail of each individual feature along with metadata, geometry, alternate views and profiles. RDF provides a standardized schema for use with any other datasets based on RDF Triples. The API is human readable and machine readable. Machine readability allows web based APIs and dashboards to consume the data in a number of standardized formats, to value add and build specialized tools for a great variety of uses, including emergency use dashboards and higher level APIs.</div><div><br></div><div>The API conforms with the OGC LA API standard and uses VocPrez and SpacePrez technology.</div>

<div>A set of Australian Statistical Geography Standard (ASGS) datasets along with related data - built as Linked-Data RDF triples and provided with a modern API. The custodian of these datasets is the Australian Bureau of Statistics (ABS). Published by Geoscience Australia (GA). These feature collections are included in this database as of October 2022:</div><div> ● ASGS 2016</div><div> ● ASGS 2021</div><div> ● Australian Drainage Divisions</div><div> ● Commonwealth Electoral Divisions 2021</div><div> ● Destinations Zones</div><div> ● Greater Capital City Statistical Areas</div><div> ● Indigenous Locations</div><div> ● Indigenous Areas</div><div> ● Indigenous Regions</div><div> ● Local Government Areas 2021</div><div> ● Local Government Areas 2022</div><div> ● ASGS Mesh Blocks</div><div> ● Postal Areas</div><div> ● State Electoral Divisions 2021</div><div> ● State Electoral Divisions 2022</div><div> ● State and Territories </div><div> ● Statistical Areas Level 1</div><div> ● Statistical Areas Level 2</div><div> ● Statistical Areas Level 3</div><div> ● Statistical Areas Level 4</div><div> ● Suburbs and Localities</div><div> ● Tourism Regions</div><div>This data and the associated API sits alongside other Geoscience RDF databases and their APIs. The API supplies mapped detail of each individual feature along with metadata, geometry, alternate views and profiles. RDF provides a standardized schema for use with any other dataset based on RDF Triples. The API is human readable and machine readable. Machine readability allows web based APIs and dashboards to consume the data in a number of standardized formats - to value add and build specialized tools for a great variety of uses, including emergency use dashboards and higher level APIs.</div><div><br></div><div>The API conforms with the OGS LD API and is built on VocPrez and SpacePrez technology.</div>

This Agreements ontology is designed to model 'agreements' which are social contracts that include: licenses, laws, contracts, Memoranda of Understanding, standards and definitional metadata. Its purpose is to support data sharing by making explicit the relationships between agreements and data and agreements and Agents (people and organisations). Eventually it will also help with the interplay between different classes of agreements. We think of this ontology as a 'middle' ontology, that is one which specializes well-known, abstract, upper ontologies and is able to be used fairly widely but is expected to be used particular contexts in conjunction with detailed, domain-specific, lower ontologies. We have tried to rely on: existing agent, data manipulation, metadata and licence ontologies where possible. As such we specialise the ORG and FOAF ontologies; the PROV ontology; the Dublin Core Terms RDF schema & DCAT ontology; and the ODRS vocabulary & Creative Commons RDF data models for those areas, respectively