This document discusses applying standard data models to environmental data streams from ocean observations. It presents examples of encoding oceanographic observation data using semantic web standards like the W3C Observation and Measurement ontology. These approaches aim to integrate live sensor data with linked open data to support interoperability across scientific domains.
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Where Linked Data meets Big Data: Applying standard data models to environmental data streams
1. Where Big Data meets Linked Data:
Applying standarddata models to
environmental data streams
Adam Leadbetter, Damian Smyth, Robert Fuller, Eoin O’Grady
Marine Institute, Ireland
Adam Shepherd
Woods Hole Oceanographic Institution, US
adam.leadbetter@marine.ie
21. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
22. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
Observation
23. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
Observation
result
24. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
Observation
result
property
25. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
Observation
result
Feature property
26. An observation is an action whose result is an estimate of
the value of some property of the feature-of-interest,
obtained using a specified procedure
Observation
result
Feature property
procedure
35. “There are emergent technologies throughout the
fields around oceanography which we will
incorporate into oceanography, and through
that convergence we will make oceanography
into something even more magical”
John Delaney