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Promoting the capture of sensor data provenance: a role-based approach to enable data quality assessment, sensor management and interoperability

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Academic year: 2020

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Figure

Fig. 1 The Online SensorML Editor has the look and feel of a technical specification sheet
Fig. 2 Tools have been created to work together and to be used by different users. The ontologies can be developed by a community and mapped by cross-domain scientists and referenced and associated within the SensorML Online Editor
Fig. 3 Sensor manufacturers can take content out of their manuals into actionable, standards-based content by describing each sensor model in SensorML
Fig. 4 Example of a quality control test SensorML description

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