Difference between revisions of "SSW"

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==Prototypes, Demos and Tools==
 
==Prototypes, Demos and Tools==
 
<UL>
 
<UL>
<LI>[http://knoesis.wright.edu/researchers/cory/demos/ssos_demo/ssos_demo.htm Semantic Sensor Observation Service (MesoWest)]</LI>
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<LI>[http://knoesis.wright.edu/research/semsci/application_domain/sem_sensor/afrl/demo/ssw.html Semantic Sensor Observation Service (Buckeye Traffic)]</LI>
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<LI>Sensor Discovery On Linked Data: [http://knoesis1.wright.edu/SSW_NEW_BETA/ prototype]</LI>
<LI>[http://knoesis.wright.edu/library/demos/ssw/prototype.htm Video on the Semantic Sensor Web]</LI>
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<LI>Semantic Sensor Observation Service (MesoWest): [http://knoesis.wright.edu/researchers/cory/demos/ssos_demo/ssos_demo.htm demo]</LI>
 +
<LI>Semantic Sensor Observation Service (Buckeye Traffic): [http://knoesis.wright.edu/research/semsci/application_domain/sem_sensor/afrl/demo/ssw.html demo]</LI>
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<LI>Video on the Semantic Sensor Web: [http://knoesis.wright.edu/library/demos/ssw/prototype.htm demo]</LI>
 
</UL>
 
</UL>
  
  
 
Contact Information: [http://knoesis.org/researchers/cory/ Cory Henson]
 
Contact Information: [http://knoesis.org/researchers/cory/ Cory Henson]

Revision as of 16:25, 3 November 2009

Semantic Sensor Web

Millions of sensors around the globe currently collect avalanches of data about our environment. The rapid development and deployment of sensor technology involves many different types of sensors, both remote and in situ, with such diverse capabilities as range, modality, and maneuverability. It is possible today to utilize networks with multiple sensors to detect and identify objects of interest up close or from a great distance. The lack of integration and communication between these networks, however, often leaves this avalanche of data stovepiped and intensifies the existing problem of too much data and not enough knowledge.1 With a view to alleviating this glut, we propose that sensor data be annotated with semantic metadata to provide contextual information essential for situational awareness. In particular, we present an approach to annotating sensor data with spatial, temporal, and thematic semantic metadata. This technique builds on current standardization efforts within the W3C and Open Geospatial Consortium (OGC) and extends them with semantic Web technologies to provide enhanced descriptions and access to sensor data.


Publications


Ontologies and Datasets


Prototypes, Demos and Tools

  • Sensor Discovery On Linked Data: prototype
  • Semantic Sensor Observation Service (MesoWest): demo
  • Semantic Sensor Observation Service (Buckeye Traffic): demo
  • Video on the Semantic Sensor Web: demo


Contact Information: Cory Henson