IEEE Internet Computing
OGC® Sensor Web Enablement: Overview and High Level Architecture
GeoSensor Networks
IEEE Internet Computing
A Semantic-Based Architecture for Sensor Data Fusion
UBICOMM '08 Proceedings of the 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
SemSOS: Semantic sensor Observation Service
CTS '09 Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems
Discovering and Maintaining Links on the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
Ontology paper: The SSN ontology of the W3C semantic sensor network incubator group
Web Semantics: Science, Services and Agents on the World Wide Web
| Hi-index | 0.00 |
The emerging field Machine-to-Machine (M2M) enables machines to communicate with each other without human intervention. Existing semantic sensor networks are domain-specific and add semantics to the context. We design a Machine-to-Machine (M2M) architecture to merge heterogeneous sensor networks and we propose to add semantics to the measured data rather than to the context. This architecture enables to: (1) get sensor measurements, (2) enrich sensor measurements with semantic web technologies, domain ontologies and the Link Open Data, and (3) reason on these semantic measurements with semantic tools, machine learning algorithms and recommender systems to provide promising applications.