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Semantically-enabled sensor plug & play for the sensor web.

Arne Bröring1, Patrick Maúe, Krzysztof Janowicz

  • 1Institute for Geoinformatics, University of Münster, D-48151 Münster, Germany. arneb@uni-muenster.de

Sensors (Basel, Switzerland)
|December 14, 2011
PubMed
Summary
This summary is machine-generated.

Environmental sensors are becoming more integrated with a new Sensor Plug & Play infrastructure. This system uses semantic matchmaking and a publish/subscribe mechanism for easier sensor web integration.

Keywords:
Semantic WebSensor Plug & PlaySensor Web Enablementontology alignmentsemantic matchingsensor bussensor integrationsensor interface descriptors

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Area of Science:

  • Environmental Science
  • Computer Science
  • Sensor Technology

Background:

  • Environmental sensors have advanced, leading to increased deployment for environmental monitoring.
  • Integrating diverse sensor types with incompatible protocols into observing systems is challenging.
  • The Open Geospatial Consortium's (OGC) Sensor Web Enablement (SWE) framework standardizes sensor web interfaces but lacks on-the-fly integration capabilities.

Purpose of the Study:

  • To introduce a Sensor Plug & Play infrastructure for the Sensor Web.
  • To enable on-the-fly sensor integration with minimal human intervention.
  • To address the limitations of the current SWE framework regarding automated sensor deployment.

Main Methods:

  • Developed a Sensor Plug & Play infrastructure combining semantic matchmaking, a publish/subscribe mechanism, and a declarative sensor interface description model.
  • Utilized existing ontologies and reasoning engines for semantic matchmaking.
  • Implemented a generic driver mechanism based on declarative sensor interface descriptions.

Main Results:

  • Successfully demonstrated the Sensor Plug & Play infrastructure in an oil spill monitoring scenario.
  • Semantic matchmaking effectively integrated heterogeneous sensors.
  • The declarative model served as a generic driver, simplifying sensor access.

Conclusions:

  • The proposed Sensor Plug & Play infrastructure significantly enhances the integration of environmental sensors into the Sensor Web.
  • Semantic integration capabilities, powered by Semantic Web technologies, are crucial for automated sensor deployment.
  • This approach facilitates the creation of more dynamic and responsive environmental observing systems.