Demonstration : a RESTful SOS proxy for linked sensor data

Arne Bröring, Krzysztof Janowicz, Christoph Stasch, Sven Schade, Thomas Everding, Alejandro Llaves

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Abstract

Next generations of spatial information infrastructures call for more dynamic service composition, more sources of information, as well as stronger capabilities for their integration. Sensor networks have been identified as a major data provider for such infrastructures, while Semantic Web technologies have demonstrated their integration capabilities. Most sensor data is stored and accessed using the Observations & Measurements (O&M) standard of the Open Geospatial Consortium (OGC) as data model. However, with the advent of the Semantic Sensor Web, work on an ontological model gained importance within Sensor Web Enablement (SWE). The ongoing paradigm shift to Linked Sensor Data complements this attempt and also adds interlinking as a new challenge. In this demonstration paper, we briefly present a Linked Data model and a RESTful proxy for OGC’s Sensor Observation Service (SOS) to improve integration and inter-linkage of observation data.
Original languageEnglish
Title of host publicationSemantic Sensor Networks 2011
Subtitle of host publicationProceedings of the 4th International Workshop on Semantic Sensor Networks
EditorsKerry Taylor, Arun Ayyagari, David De Roure
PublisherCEUR
Pages123-126
Publication statusPublished - 23 Oct 2011
Event4th International Workshop on Semantic Sensor Networks, SSN 2011 - Bonn, Germany
Duration: 23 Oct 201123 Oct 2011
Conference number: 4

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR.org
Volume839
ISSN (Print)1613-0073

Conference

Conference4th International Workshop on Semantic Sensor Networks, SSN 2011
Abbreviated titleSSN
CountryGermany
CityBonn
Period23/10/1123/10/11

Keywords

  • METIS-306575
  • Semantic Sensor Web
  • Linked Sensor Data
  • REST
  • Sensor Observation Service

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  • Cite this

    Bröring, A., Janowicz, K., Stasch, C., Schade, S., Everding, T., & Llaves, A. (2011). Demonstration : a RESTful SOS proxy for linked sensor data. In K. Taylor, A. Ayyagari, & D. De Roure (Eds.), Semantic Sensor Networks 2011: Proceedings of the 4th International Workshop on Semantic Sensor Networks (pp. 123-126). (CEUR Workshop Proceedings; Vol. 839). CEUR.