The ACORN-SAT linked climate dataset

نویسندگان

  • Laurent Lefort
  • Armin Haller
  • Kerry L. Taylor
  • Geoffrey Squire
  • Peter Taylor
  • Dale Percival
  • Andrew Woolf
چکیده

The Australian Bureau of Meteorology has recently published a homogenised daily temperature dataset, ACORN-SAT, for the monitoring of climate variability and change in Australia. The dataset employs the latest analysis techniques and takes advantage of newly digitised observational data to provide a daily temperature record over the last 100 years. In this article we present how ACORN-SAT can be published as linked data with the help of the Semantic Sensor Network ontology and the RDF Data Cube vocabulary. We describe how the proposed service can make such datasets more accessible and linkable with other resources and how to handle issues which are specific to such long term climate data time series. The resulting Linked Sensor Data Cube is accessible online via a pilot government linked data service built on the Linked Data API at lab.environment. data.gov.au.

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عنوان ژورنال:
  • Semantic Web

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2017