A Real-time Integration of Semantics into Heterogeneous Sensor Stream Data with Context in the Internet of Things

Besmir Sejdiu, Florije Ismaili, Lule Ahmedi


Recently, billions Internet of Things (IoT) devices, including sensors are producing sensed data continuously in the stream data, and transmit these data to a centralized server. Due to the dramatically increase of streaming data, their management and exploitation has become increasingly important and difficult to process and integrate the semantic to sensor stream data in real-time. 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).


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