0.25
0.5
0.75
1.25
1.5
1.75
2
A Use Case in Semantic Modelling and Ranking for the Sensor Web
Published on Dec 19, 20141667 Views
Agricultural decision support systems are an important application of real-time sensing and environmental monitoring. With the continuing increase in the number of sensors deployed, selecting sensor
Related categories
Chapter list
A Use Case in Semantic Modelling and Ranking for the Sensor Web 00:00
Content00:23
Viticulture project00:38
Motivation - User Requirements 01:16
User Requirements – Viticulture Derived Variables 02:37
Viticulture Use Case03:26
Botrytis risk03:58
Bacchus Index04:30
Bacchus Index = a derived variable04:47
Accumulated Bacchus Index 05:06
Accumulated Bacchus Index (ABI)05:34
Sensor Data Infrastructure 06:13
CSIRO Sensor Cloud - Sensor data infrastructure06:23
Sensor Cloud – JSON documents07:30
Sensor Cloud08:08
Sensor Data Analytics - implementation09:05
Semantic Modelling09:33
Semantic Sensor Cloud09:38
Semantic Modelling - Sensor Cloud Ontology10:04
Semantic Modelling – SSN ontology (zoom)10:56
Semantic Modelling – Example 1 Annota,ons for Observed Phenomena 11:30
Semantic Modelling – Example 1 Annota,ons for Observed Phenomena 12:13
Semantic Modelling – Example 2 Annota,ons for sensors 12:57
Semantic Modelling – Calibrations in time13:34
Semantic Modelling – Calibrations in time (zoom)13:46
Semantic Modelling – Calibrations in time (zoom 2) 13:51
Semantic Ranking Approach 14:04
Fit for purpose selection and ranking 14:06
Fit for purpose selection and ranking 15:06
Fit for purpose selection and ranking 15:11
Fitness Queries – Ranking Algorithm15:35
Evaluation – ABI for different temperature sensors 16:08
Evaluation – Ranking results 17:22
Conclusions18:20
Thank you!18:36