Linked Water Data For Water Information Management (bibtex)
by Edward Curry, Viktoriya Degeler, Eoghan Clifford, Daniel Coakley, Andrea Costa, Schalk-Jan Van Andel, Nick Van De Giesen, Christos Kouroupetroglou, Thomas Messervey, Jan Mink, Sander Smit
Abstract:
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.
Reference:
Edward Curry, Viktoriya Degeler, Eoghan Clifford, Daniel Coakley, Andrea Costa, Schalk-Jan Van Andel, Nick Van De Giesen, Christos Kouroupetroglou, Thomas Messervey, Jan Mink, Sander Smit, "Linked Water Data For Water Information Management", In 11th International Conference on Hydroinformatics (HIC 2014), New York, New York, USA, 2014.
Bibtex Entry:
@inproceedings{Curry2014a,
abstract = {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.},
address = {New York, New York, USA},
author = {Curry, Edward and Degeler, Viktoriya and Clifford, Eoghan and Coakley, Daniel and Costa, Andrea and {Van Andel}, Schalk-Jan and {Van De Giesen}, Nick and Kouroupetroglou, Christos and Messervey, Thomas and Mink, Jan and Smit, Sander},
booktitle = {11th International Conference on Hydroinformatics (HIC 2014)},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Curry et al. - 2014 - Linked Water Data For Water Information Management.pdf:pdf},
title = {{Linked Water Data For Water Information Management}},
url = {http://www.edwardcurry.org/publications/Curry_HIC2014.pdf},
year = {2014}
}
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