request/response, event driven, and resource-oriented; and to ena

request/response, event driven, and resource-oriented; and to enable click here context sensitive applications that seamlessly integrate environmental monitoring.In this paper, we argue for the use of semantic web technology to supply rich metadata in a machine understandable format together with a set of services to exploit Inhibitors,Modulators,Libraries these semantic annotations to address these issues. We describe a sensor web architecture that enables integration and correlation of multiple heterogeneous datasets, including both live sensor data, historic sensor data, and contextual data (e.g., details of sea defences as provided by the UK Environment Agency��s National Flood and Coastal Defence Database (nfcdd) [3], or the road network as a map overlay). We propose an approach that makes extensive use of semantic technologies (i.
e., ontologies [4], rdf [5], sparql [6]), both for data discovery and data integration. This enables users to interact with data within a conceptualisation that they are familiar with. On the other hand, it does not tie the system to one particular model over the data. Inhibitors,Modulators,Libraries Indeed, publishers are free to publish their data according to the model in which it is generated. The publisher could already be publishing their data in a particular model. We aim to support the reuse of data in ways that transcend its original purpose.The services of the semantic sensor web approach build on existing web service recommendations for data access and integration [7], and notifications [8]. Our approach is complementary to the Open Geospatial Consortium Sensor Web Enablement (ogc-swe) framework [9,10] in that existing ogc-swe services (e.
g., Sensor Observation Service) can be incorporated into our approach, as well as being used as services on top of our semantic sensor web (as will be described in Section 4).We demonstrate the use of our semantic sensor web architecture in the context of a flood Inhibitors,Modulators,Libraries response planning web application. The application is aimed at a variety Inhibitors,Modulators,Libraries of user groups from members of the public to those responsible for identifying and responding to coastal flooding events. The application uses the semantic registry service to discover and dynamically incorporate relevant sources of sensed, modelled, and contextual data according to the user��s role and area of interest. Stored and streaming data services are used to access historic and near real-time sensor data, including sources which may have been semantically combined through data integration services.
For example, the application provides an innovative AV-951 tool for alerting users to the incidence and forecast of flood defence over-topping events.Section 2 provides details of related work in the areas of sensor web architectures and decision support systems. We motivate the use of ontologies for modelling data in the semantic sensor web in Section 3, and present the network of Tipifarnib R115777 ontologies used in the flood warning system deployment.

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