A Semantic Enhanced Service Proxy Framework for Internet of Things
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
SEPSen: semantic event processing at the sensor nodes for energy efficient wireless sensor networks
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
SemaKoDE: hybrid system for knowledge discovery in sensor-based smart environments
ICWE'12 Proceedings of the 12th international conference on Web Engineering
SSTDE: an open source semantic spatiotemporal data engine for sensor web
Proceedings of the First ACM SIGSPATIAL Workshop on Sensor Web Enablement
Decentralised smart grids monitoring by swarm-based semantic sensor data analysis
International Journal of Systems, Control and Communications
I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments
Computers in Industry
Integrated system for control and monitoring industrial wireless networks for labor risk prevention
Journal of Network and Computer Applications
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Wireless sensor networks (WSN) generate large volumes of raw data which possess natural heterogeneity. WSNs are normally application specific with no sharing or reusability of sensor data among applications. In order for applications and services to be developed independently of particular WSNs, sensor data need to be enriched with semantic information. In this paper, we propose a Semantic Web Architecture for Sensor Networks (SWASN). This information oriented architecture allows the sensor data to be understood and processed in a meaningful way by a variety of applications with different purposes. We develop ontologies for sensor data and use the Jena API for processing which includes querying and inference over sensor data. By studying a building fire emergency scenario, we show that semantic web technologies can provide high level information extraction and inference of sensor data.