Linked Data refers to a collection of interrelated datasets on the Web expressed in a standard structure. These Linked Data and relationships among them can be reached and managed by Semantic Web tools. Linked Data enables large scale integration of and reasoning on data on the Web. This cookbook is to documents the processes and workflows required to create a Linked Data API for a dataset in the Foundation Base Project in Geoscience Australia (GA) and further publish it on the AWS.

A Linked Data API, using Python Flask which is an HTTP API framework, used to deliver representations of GA's aerial Surveys online as Linked Data. The API reads data from another HTTP API: the ARGUS XML API. The ARGUS XML API is generated by Oracle software and delivers XML representations of Survey objects stored in the ARGUS database. The online endpoints for the ARGUS XML API as accessed by this Surveys API are given in a config file within this API's code. Details about how to use this API are given within the main README file of this API's code repository (README.md).

Online resource API to AusPIX-enable (DGGS enable) spatial datasets for smaller areas of Australia. The main API will accept your geojson file, complete with data attributes, AusPIX DGGS enable it, and return as a download, the finished output. Download includes the features and attributes the source file had in it so the data is actually AusPIX enabled. Both manual and machine readable components are available. A further (2nd) API "test map" API allows the user to draw points, lines, or polygons on the map, and have the area of interest AusPIX DGGS enabled as a returned list of cells. Potentially data for these cells can be searched for in AusPIX Data Integration by Locality tables or using the AusPIX linked Data API. Search for Keyword "AusPIX" for these resources in eCat

The linked data API for National Composite Gazetteer of Australia. Uses linked data principles to provide Human readable and machine readable resources for data sharing and linking. Includes alternate views for machine readable services, and links to vocab resources, as well as a landing page map for visualisation. Link: http://linked.data.gov.au/dataset/placenames

<div>The bulk oils database table contains publicly available results from Geoscience Australia's organic geochemistry (ORGCHEM) schema and supporting oracle databases for the bulk properties of petroleum liquids (e.g., condensate, crude oil, bitumen) sampled from boreholes and field sites. The analyses are performed by various laboratories in service and exploration companies, Australian government institutions, and universities using a range of instruments. Petroleum is composed primarily of hydrocarbons (carbon and hydrogen) with minor quantities of heterocyclic compounds containing either nitrogen, oxygen or sulfur. Data includes the borehole or field site location, sample depth, shows and tests, stratigraphy, analytical methods, other relevant metadata, and various data types including; API gravity, elemental composition and photographs of the samples. The stable carbon (¹³C/¹²C) and hydrogen (²H/¹H) isotopic ratios of crude oil and derivative saturated and aromatic hydrocarbon fractions are presented in parts per mil (‰) and in delta notation as &delta;¹³C and &delta;²H, respectively. Results are also included from methods that separate crude oils into bulk components, such as the quantification of saturated hydrocarbon, aromatic hydrocarbon, resin, and asphaltene (SARA) fractions according to their polarity.</div><div><br></div><div>These data provide information about the petroleum fluid’s composition, source, thermal maturity, secondary alteration, and fluid migration pathways. They are also useful for enhanced oil recovery assessments, petroleum systems mapping and basin modelling. Hence, these sample-based datasets are used for the discovery and evaluation of sediment-hosted resources. Some data are generated in Geoscience Australia’s laboratory and released in Geoscience Australia records. Data are also collated from destructive analysis reports (DARs), well completion reports (WCRs), and literature. The bulk oils data are delivered in the Petroleum Bulk Properties and Stable Isotopes web services on the Geoscience Australia Data Discovery Portal at https://portal.ga.gov.au which will be periodically updated.</div>

This linked data API allows online access to all the AusPIX cells as a database. All DGGS cells, at all common resolutions, are mapped on individual landing pages, along with descriptors for spatial extent, centroid, neighbours, parent cells and child cells. Includes alternate views in a variety of formats, and can be manually or machine read. This is an online resource for the "AusPIX Data Integration by Locality Framework". It is built as a virtual database where the AusPIX DGGS Engine calculates information on demand. Location of this Linked data API is: https://fsdf.org.au/dataset/auspix/collections/auspix/items/R78523

<div>Spatially Linked-data, built using the Discrete Global Grid System (DGGS) as a tool. These functions provide statistical cross-referencing between features of dissimilar geographic layers, to expresses statistical relationships between them. Can be applied to point, line, polygon and raster datasets (including Digital Earth Australia - DEA data). </div><div><br></div><div>This API is located at https://api.dggs.ga.gov.au/docs and contains several functions the user can access. The data drill function is the most commonly used for determining the features at a specific location.</div><div><br></div><div>Where appropriate, these tools calculate the apportionment figure which calculates the percentage that one feature is spatially within a comparison features from another geography. ABS, GA and other agencies use this sort of information to apportion data from one geography to another (e.g. to attribute Local Government Areas (LGA) polygons with data collected on ABS SA2 polygons).</div><div><br></div><div>There are many other use-cases. For example, tell me how many residential addresses are with in a wildfire burn area. Which LGA is the fire is within, which State Electorate, which suburbs, and which postcodes.</div><div><br></div><div>All this information is available from AusPIX web user interfaces, without the need to open a GIS package. </div><div><br></div><div>This AusPIX DGGS solution is built into a fast-API web interface (known also as a swagger interface) and resides inside Geoscience Australia (GA) infrastructure (on AWS). The fast-API is a modern method to share information through a user web-interface, providing secure access in both human and machine readable forms. This is F.A.I.R technology.</div><div><br></div><div>Humans can web-click through the API to find and copy the information they need. Machines can also query the API to consume the information for any higher level dashboards and other APIs. </div><div><br></div><div>This API is available at https://api.dggs.ga.gov.au/docs and has received an average of 100 hits (invocations or uses) per month over the last 6 months, which is quite good considering it is still waiting to be advertised in eCat. The most used function at the moment is the dataDrill function. Users input a Latitude/Longitude location and receive back a useful set of information about that location. Other functions are available and several potential ones identified.</div><div><br></div><div>Hyperlinks in the data also provide the landing pages to provide mapped features, geometry, and metadata from the GA/ABS semantically linked datasets and their APIs.</div><div><br></div><div>A feature of how the system is built is the ability to cross-reference any combination required, without the need to wait for re-calculation. The AusPIX system has this flexibility because its base-geography is equal area DGGS cells provisioned as a intelligent raster. This raster is provided as a rather simple SQL table for any APIs to query. All this technology is hidden from the end-user.</div><div><br></div><div>Because the DGGS cells and their attributed values are pre-calculated, the system works at high speed.</div><div><br></div><div>AusPIX provides a unique service beyond map data. Rather AusPIX focuses on the individual features and their relationships to features in other datasets. The benefit is that much of the difficult map interpretation or analysis is provided in completed form for the user. Rather than providing just data, AusPIX automates the provision of the next level up - information and statistics.</div><div><br></div>