Free and Open Source Software for Geomatics Conference FOSS4G 2010 Barcelona

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Title

HOW TO DISCOVER SENSORS IN THE SENSOR WEB?

Abstract

Today, OGC compliant Sensor Web Enablement (SWE) implementations are deployed in a broad range of scenarios. An important reason for relying on the SWE framework is its inherent interoperability. This makes it possible to exchange sensor data between different user communities, applications and domains. However, when talking about the flexible exchange of sensor data, first a user needs to know which sensor data is available and through which SWE service instance it can be retrieved.

Thus, for benefiting from the interoperable exchange of sensor data, the availability of a sensor registry or sensor catalogue is essential. Otherwise users would have no efficient means to become aware of any sensor data sources that are of interest to them.

Within this presentation two elements of an Open Source sensor discovery framework will be introduced which is currently developed by members of the 52° North Sensor Web Community in the context of the European FP7 project GENESIS (www.genesis-fp7.eu). This sensor discovery framework addresses among others especially the following two aspects:

Metadata harvesting: In order to populate the database of a sensor catalogue there is a need for collecting the relevant sensor metadata. However, as the manual insertion of sensor metadata documents is a cumbersome task, a mechanism was developed that extracts all necessary sensor metadata out of SWE service instances.

OGC Catalogue: For a seamless integration into spatial data infrastructures it is necessary to offer the sensor discovery functionality through an OGC compliant catalogue. Within the presented solution the Open Source Buddata ebXML Registry/Repository was coupled to the sensor metadata harvesting mechanism.

In summary, this presentation shows how the OGC SWE framework can be enhanced with sensor discovery functionality so that the advantages of the interoperable provision of sensor data can be fully used.

Authors

Simon Jirka - University of Muenster

Slides

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