Context (archaeology)

World Wide Web

Key distribution in wireless sensor networks

Engineering

Aerospace engineering

Real-time data

Real-time computing

Archaeology

Telecommunications

Computer science

Distributed computing

Environmental engineering

Database

Internet of Things

Geography

Sensor web

Data science

Artificial intelligence

Remote sensing

Semantic annotation

Wireless

Stream processing

Geospatial analysis

Environmental monitoring

Situation awareness

Annotation

Data stream

Wireless network

Computers

Sensors and other Internet of Things (IoT) technologies are increasingly finding application in various fields, such as air quality monitoring, weather alerts monitoring, water quality monitoring, healthcare monitoring, etc. IoT sensors continuously generate large volumes of observed stream data; therefore, processing requires a special approach. Extracting the contextual information essential for situational knowledge from sensor stream data is very difficult, especially when processing and interpretation of these data are required in real time. This paper focuses on processing and interpreting sensor stream data in real time by integrating different semantic annotations. In this context, a system named IoT Semantic Annotations System (IoTSAS) is developed. Furthermore, the performance of the IoTSAS System is presented by testing air quality and weather alerts monitoring IoT domains by extending the Open Geospatial Consortium (OGC) standards and the Sensor Observations Service (SOS) standards, respectively. The developed system provides information in real time to citizens about the health implications from air pollution and weather conditions, e.g., blizzard, flurry, etc.

IoTSAS: An Integrated System for Real-Time Semantic Annotation and Interpretation of IoT Sensor Stream Data