Dr Jonathan Yu1, Mr Paul Box2, Dr David Lemon3, Mr Ashley Sommer4, Mr Shane Seaton3, Mr Benjamin Leighton1, Dr Simon Cox1
1CSIRO Land and Water, Clayton, Australia, 2CSIRO Land and Water, Eveleigh, Australia, 3CSIRO Land and Water, Black Mountain, Australia, 4CSIRO Land and Water, Brisbane, Australia
The Location Index (Loc-I) project has developed a spatial knowledge graph along with tools that provide a consistent way to reference location information and support the integration of observational datasets with location embedded within it (e.g. census data, business registers, and environmental observations). We have developed Loc-I Datasets that feature web-resolvable identifiers using Linked Data. Specifically, we have developed Linked Data versions of a subset of the ASGS 2016 published by the ABS, Geofabric v2.1.1 published by the Bureau of Meteorology and G-NAF published by PSMA. Web-resolvable identifiers provides a mechanism for referencing location, its metadata, and linking between datasets/geographies consistently. We have also developed Loc-I Linksets, which is a dataset that contain links between datasets, e.g. links between ASGS 2016 and Geofabric v2.1.1. The semantics of each location and linkset are captured via ontologies and additional information is attached as metadata, e.g. calculated area intersection between features. Loc-I datasets and linksets are assembled into a graph database and APIs are provided for querying. This system is then able to provide researchers with tools to carry out analysis across geographies, for example supporting reapportionment of census data captured in the ABS Mesh Block to Geofabric River Regions or vice-versa in real-time without needing the use of any GIS tools for processing. In this presentation, we will provide an overview of the Loc-I system and the source data and demonstrate the use of the Loc-I spatial knowledge graph to integrate across different datasets.
Dr Jonathan Yu is a data scientist with the Environmental Informatics group in CSIRO. He has expertise in information and web architectures, data integration (particularly Linked Data), data analytics and visualisation. Jonathan is the technical lead for the Location Index project, which aims to enable and improve location-based integration of data in Australia.