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Deriving Semantic Sensor Metadata from Raw Measurements
Published on Dec 03, 20122890 Views
Sensor network deployments have become a primary source of big data about the real world that surrounds us, measuring a wide range of physical properties in real time. With such large amounts of hete
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Chapter list
Deriving Semantic Sensor Metadata from Raw Measurements 00:00
Sensor Observations00:08
Streaming Sensor Data00:36
Sensor Web01:19
The Sensor Web01:37
Semantic Sensor Web02:04
SSN Ontology with other ontologies02:09
Sensor Metadata03:12
Sensor Observations (1)03:50
Sensor Observations (1)04:09
Cosm/Pachube Datastreams05:23
Looking into the Data06:32
Classifying Sensor Data07:08
Related Tasks07:34
Deriving Semantic Metadata07:56
Data Representation08:32
Constant Approximation09:13
Piecewise Linear Approximation (1)09:52
Piecewise Linear Approximation (2)10:57
Linear Approximations11:31
Slope Distributions13:11
Use the representation for Classifying13:55
Experiments SwissEx15:39
Experiments AEMET (1)16:45
Experiments AEMET (2)17:20
Evaluation AEMET17:39
Metadata Properties18:23
Querying Metadata18:52
Evaluation vs SAX (1)19:06
Evaluation vs SAX (2)19:30
How much data do we need?19:48
Conclusions20:19
…Thanks21:04