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A Sensor and Semantic Data Warehouse for Integrated Water Resource Management

Authors
Abecker, Andreas (Disy Informationssysteme GmbH Karlsruhe)
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Brauer, Torsten (Disy Informationssysteme GmbH Karlsruhe)
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Magoutas, Babis (ICCS, National Technical University of Athens)
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Mentzas, Gregoris (ICCS, National Technical University of Athens)
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Papageorgiou, Nikos (ICCS, National Technical University of Athens)
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Quenzer, Michael (Disy Informationssysteme GmbH Karlsruhe)
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Chapter GIS: Techniques and Applications
Volume Proceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
Conference EnviroInfo 2014 - ICT for Energy Effieciency
Oldenburg, 2014
Year 2014
Abstract of the Article
The goal of the EU-FP7 project WatERP is to achieve more interoperability of software systems
along the water-supply chain. A central element to achieve that is the WatERP Water Data Warehouse
which shall act as a central data-exchange platform between different software systems. The
WDW shall be able to store and provide sensor, measurement and forecasting data, as well as semantic
knowledge about the water-supply chain. It shall be as standards-compliant as reasonable
and shall offer query and reasoning facilities over sensor data, spatial information and ontological
knowledge. In this paper, we show the basic architecture of the WDW and shortly discuss its main
design decisions.
Pages 517 - 524
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