A Semantic Sensor Web for Environmental Decision Support Applications

Gray, A. and Sadler, J. and Kit, O. and Kyzirakos, K. and Karpathiotakis, M. and Calbimonte, JP. and Page, K. and García-Castro, Raúl and Frazer, A. and Galpin, I. and Fernandes, A. and Paton, N. and Corcho, Oscar and Koubarakis, M. and Roure, D. and Martinez, K. and Gómez-Pérez, A. (2011). A Semantic Sensor Web for Environmental Decision Support Applications. "Sensors", v. 11 (n. 9); ISSN 1424-8220.


Title: A Semantic Sensor Web for Environmental Decision Support Applications
  • Gray, A.
  • Sadler, J.
  • Kit, O.
  • Kyzirakos, K.
  • Karpathiotakis, M.
  • Calbimonte, JP.
  • Page, K.
  • García-Castro, Raúl
  • Frazer, A.
  • Galpin, I.
  • Fernandes, A.
  • Paton, N.
  • Corcho, Oscar
  • Koubarakis, M.
  • Roure, D.
  • Martinez, K.
  • Gómez-Pérez, A.
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 14 September 2011
Volume: 11
Freetext Keywords: oeg, SemSorGrid4Env
Faculty: Facultad de Informática (UPM)
Department: Inteligencia Artificial
UPM's Research Group: Ontology Engineering Group – OEG
Creative Commons Licenses: None

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Official URL: http://www.mdpi.com/1424-8220/11/9/8855/


Sensing devices are increasingly being deployed to monitor the physical world around us. One class of application for which sensor data is pertinent is environmental decision support systems, e.g., flood emergency response. For these applications, the sensor readings need to be put in context by integrating them with other sources of data aboutthe surrounding environment. Traditional systems for predicting and detecting floods rely on methods that need significant human resources. In this paper we describe a semantic sensor web architecture for integrating multiple heterogeneous datasets, including live and historic sensor data, databases, and map layers. The architecture provides mechanisms for discovering datasets, defining integrated views over them, continuously receiving data in real-time, and visualising on screen and interacting with the data. Our approach makes extensive use of web service standards for querying and accessing data, and semantic technologies to discover and integrate datasets. We demonstrate the use of our semantic sensor web architecture in the context of a flood response planning web application that uses data from sensor networks monitoring the sea-state around the coast of England.

Funding Projects

FP7223913SEMSORGRID4ENVUnspecifiedSemantic Sensor Grids for Rapid Application Development for Environmental Management

More information

Item ID: 10306
DC Identifier: http://oa.upm.es/10306/
OAI Identifier: oai:oa.upm.es:10306
Deposited by: Dr Oscar Corcho
Deposited on: 13 Feb 2012 11:57
Last Modified: 26 Jan 2015 11:40
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