The document discusses aggregating sensor data as linked data. It defines data aggregation as computing an aggregate value for a group of values using an aggregation function and partitioning predicate. It presents approaches for spatially and temporally aggregating sensor observations and linking the aggregated observations as linked data. This involves extending the SOS design pattern to represent aggregated observations and tracing their provenance back to original observations. Finally, it outlines future work on formalizing the effects of aggregation on links and integrating aggregation with sensor plug-and-play and linked sensor streams.
1. Aggregating Linked Sensor Data Christoph Stasch, Sven Schade, Alejandro Llaves, Krysztof Janowicz, Arne Bröring Institute for Geoinformatics Westfälische Wilhelms-Universität Münster 3rd Workshop on Semantic Sensor Networks Bonn, 2011 Christoph Stasch – staschc@uni-muenster.de
3. Aggregation in Linked Sensor Data Christoph Stasch – staschc@uni-muenster.de 15°C 16°C 17°C 14°C Adding new links: Belongs the observation value to that feature? Spatial Aggregation 15,5°C Linking the aggregated observation
10. Spatio-Temporal Aggregation Service (STAS) Christoph Stasch – staschc@uni-muenster.de Stasch, C., Autermann, C., Foerster, T., Pebesma, E.: Towards a Spatiotemporal Aggregation Service in the Sensor Web. Poster Presentation. In: The 14th AGILE International Conference on Geographic Information Science. (2011)
14. Effects on Links from and to Observations Christoph Stasch – staschc@uni-muenster.de 15°C 16°C 17°C 14°C FOI1 FOI2 FOI3 FOI4 Spatial Aggregation 15,5°C
15. Effects from and to Observations Christoph Stasch – staschc@uni-muenster.de
18. Provenance Christoph Stasch – staschc@uni-muenster.de DUL = Dolce Ultra Light ldm = Linked Sensor Data Model opmv = Open Provenance Model Vocabulary prv = Provenance Vocabulary
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Janowicz, K. , Bröring, A., Stasch, C., Schade, S., Everding, T., and Llaves, A. (2011): A RESTful Proxy and Data Model for Linked Sensor Data. International Journal of Digital Earth. DOI:10.1080/17538947.2011.614698, pp. 1-22