A Real-Time Integration of Semantic Annotations into Air Quality Monitoring Sensor Data

Abstract

AbstractNowadays, air pollution is one of the most serious problems in the world, therefore the real-time monitoring air quality is considered as necessity. Internet of Things (IoT) devices, such as sensors, enable real-time air quality monitoring, which produce sensed data continuously in the stream data, and transmit these data to a centralized server. Raw sensor stream data is useless unless properly annotated. Hence, the researchers proposed Semantic Sensor Web (SSW), which is a combination of Sensor Web and technologies of Semantic Web. However, how to advance techniques for integration of the semantic annotations in real-time is still an open issue that should be addressed. This research focuses on real-time integration of semantics into heterogeneous sensor stream data with context in the IoT. In this context, an IoT real-time air quality monitoring system and different semantic annotations are developed for sensor stream data in the format of Sensor Observation Service (SOS).KeywordsSensor stream dataSemantic annotationsSemantic Sensor Web (SSW)Internet of Things (IoT)