Semantic Challenges for Sensor Plug and Play. Broring, A., Janowicz, K., Stasch, C., & Kuhn, W. In W2GIS '09: Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems, volume 5886, pages 72--86, 2009.
Semantic Challenges for Sensor Plug and Play [link]Paper  abstract   bibtex   
The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC's Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug & play within the Sensor Web.
@inproceedings{ Broring,
  author    = {Arne Broring and Krzysztof Janowicz and Christoph Stasch and Werner Kuhn},
  title     = {Semantic Challenges for Sensor Plug and Play}, 
  abstract   = {The goal of the Sensor Web Enablement (SWE) initiative of the Open Geospatial Consortium (OGC) is the definition of web service interfaces and data encodings to make sensors discoverable, taskable and accessible on the World Wide Web. The SWE specifications enable a standardized communication and interaction with arbitrary types of sensors and sensor systems. The central concepts within OGC's Sensor Web architecture are sensors, observations and features of interest. Sensors and their observations can be registered and stored through the Sensor Observation Service (SOS) to make them accessible for clients. So far, mechanisms are missing which support a semantic matching between features of interest stored in a database and referred to by an observation. The same applies for the matching between observations as sensor outputs and the properties of the features of interest. By taking a use case from disaster management, we outline the challenges and demonstrate how semantically annotated SWE data models and service interfaces support semantic matching. The result is a roadmap towards a semantically enabled sensor plug \& play within the Sensor Web.},
  booktitle   = {W2GIS '09: Proceedings of the 9th International Symposium on Web and Wireless Geographical Information Systems},
  pages   = {72--86},
  volume   = {5886},
  url   = {http://dx.doi.org/10.1007/978-3-642-10601-9\_6} ,
  year   = {2009}
}

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