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SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management www.semsorgrid.eu Development of an integrated information.

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Presentation on theme: "SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management www.semsorgrid.eu Development of an integrated information."— Presentation transcript:

1 SemSorGrid4Env: Semantic Sensor Grids for Rapid Application Development for Environmental Management www.semsorgrid.eu Development of an integrated information space where new sensor networks can be easily discovered and integrated with existing ones and possibly other data sources Rapid development of flexible and user-centric decision support systems that use data from multiple autonomous independently deployed sensor networks and other applications.

2 2Kick off Meeting - Brussels, 13 Feb 2008 Fire Risk Monitoring and Warning in Castilla y León Coastal and Estuarine Flood Warning in Southern UK Two Applications

3 Channel Coastal Observatory

4 GIS Sensor Nodes web M1 M2 web M3 validation Flood prediction Meteorological data Model influences sampling and reporting rates

5 Resource-Oriented Architecture Service-Oriented ArchitectureData integration Semantic registry Web 2.0RESTLinked Data Sensor network deployment Query languagesDQP Rapid application development OGC Stored data RDF

6 SemsorGrid4Env Application Tier Web Application UI Application Tier Library Mashups RDF/ SPARQL Other SOA eg OGC WS-DAI Resource Oriented Architecture directly exposing REST interfaces RDF Linked DataREST External applications and mashups SemsorGrid4Env Application Tier Data Element Interfaces to other SG4Env components Mapping Element High level API

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8 Summary From application perspective there are many different kinds of users Apps need to find data sources, (s)mash them up, and use live data Priority-push and adaptive sampling are important Semantics support discovery of sources, integration of information, publishing, annotation, provenance, automation Architecture-Data model interplay: mashups over SOA and publishing linked data for reuse


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