Abstract

LearnAir is a semantic web infrastructure that improves the reliability of air quality data. It unifies sensors—from citizen science to government reference—to automatically characterize device error under various meteorological conditions and device states. LearnAir thus leverages known reference sensors to extract the useful measurements from otherwise untrustworthy devices.

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