%0 Journal Article
%T A Semantic Sensor Web for Environmental Decision£¿Support Applications
%A Alasdair J. G. Gray
%A Jason Sadler
%A Oles Kit
%A Kostis Kyzirakos
%A Manos Karpathiotakis
%A Jean-Paul Calbimonte
%A Kevin Page
%A Ra¨²l Garc¨ªa-Castro
%A Alex Frazer
%A Ixent Galpin
%A Alvaro A. A. Fernandes
%A Norman W. Paton
%A Oscar Corcho
%A Manolis Koubarakis
%A David De Roure
%A Kirk Martinez
%A Asunci¨®n G¨®mez-P¨¦rez
%J Sensors
%D 2011
%I MDPI AG
%R 10.3390/s110908855
%X 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 about£¿the 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.
%K semantic sensor web
%K application and visualisation
%K semantic data integration
%U http://www.mdpi.com/1424-8220/11/9/8855