Technical Breakdown of a Time-Series Data Federation System

11 pages•Published: September 20, 2018

Ashley Sommer, Matthew Stenson and Ross Searle

Abstract

A very large volume of climatic and agricultural data is captured and recorded by on-farm monitoring devices that is uploaded to various different data service providers. It is consistently difficult for land managers to discover, access, understand and use the data due to its disparate nature, limited access to it and multiple proprietary formats used. The Soil Sensing project is developing tools and technologies to help improve the ability to discover, access, understand, and use time-series farm-scale data across disparate data providers. This is achieved by the development and deployment of loosely-coupled web services in the form of a Data Streams Integrator system (DSI), which implements a combined brokered and federated data supply chain pattern. The DSI is composed of the Data Brokering Layer, the Observations and Measurements translation layer, the Sensor Observation Service interface and a metadata registry and repository.

Keyphrases: data brokering layer, dbl, metadata repository, o&m, observations and measurements, sensor observation service, sos

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2000-2010.

Links:	https://easychair.org/publications/paper/b8dm
	https://doi.org/10.29007/vwdh

BibTeX entry

@inproceedings{HIC2018:Technical_Breakdown_Time_Series,
  author    = {Ashley Sommer and Matthew Stenson and Ross Searle},
  title     = {Technical Breakdown of a Time-Series Data Federation System},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/b8dm},
  doi       = {10.29007/vwdh},
  pages     = {2000-2010},
  year      = {2018}}

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