Conference Publication Details
Mandatory Fields
Curry, E., Degeler, V., Clifford, E., Coakley, D., Costa, A., van Andel, S.J., Van de Giesen, N., Kouroupetroglou, C., Messervey, T., Mink, J. and Smit, S.
11th International Conference on Hydroinformatics (HIC)
Linked water data
Optional Fields
Brodaric, Boyan and Piasecki, Michael
New York, New York, USA
The management of water consumption is hindered by low general awareness and absence of precise historical and contextual information. Effective and efficiency management of water resources requires a holistic approach considering all the stages of water usage. A decision support tool for water management services requires access to a number of different data domains and different data providers. The design of next-generation water information management systems poses significant technical challenges in terms of information management, integration of heterogeneous data, and real-time processing of dynamic data. Linked Data is a set of web technologies that enables integration of different data sources. This work investigates the usage of Linked Data technologies in the Water Management domain, describes the fundamental concepts of the approach, details an architecture, and discusses possible water management applications.
The research leading to these results has received funding under the European Commission's Seventh Framework Programme from ICT grant agreement WATERNOMICS no. 619660. It is supported in part by Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289
Grant Details
International, Science Foundation Ireland (SFI)
WATERNOMICS no. 619660 and SFI/12/RC/2289
Publication Themes
Environment, Marine and Energy, Informatics, Physical and Computational Sciences