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The Location Index: A Semantic Web Spatial Data Infrastructure

  • Nicholas J. CarEmail author
  • Paul J. Box
  • Ashley Sommer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11503)

Abstract

The Location Index (LocI) project is building a national and authoritative, also federated, index for Australian spatial data using Semantic Web technologies. It will be used to link observation and measurement data (social, economic and environmental) to spatial objects identified in any one of multiple, interoperable, datasets. Its goal is to improve efficiency and reliability of data integration to support government decision making.

Keywords

Linked Data Spatial Data Infrastructure Social architecture Semantic Web Python Australia 

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Copyright information

© Springer Nature Switzerland AG 2019

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  1. 1.Land & WaterCSIROBrisbaneAustralia
  2. 2.Land & WaterCSIROSydneyAustralia

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