A semantic and agent-based approach to support information retrieval, interoperability and multi-lateral viewpoints for heterogeneous environmental databases
Data stored in individual autonomous databases often needs to be combined and interrelated. For example, in the Inland Water (IW) environment monitoring domain, the spatial and temporal variation of measurements of different water quality indicators stored in different databases are of interest. Dat...
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Queen Mary, University of London
2006
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.434903 |