Water Analytics and Management with Real-time Linked Dataspaces
21
In [23], a display to present gas, electricity, and water consumption in an artistic
way is described. In [21], a persuasive application to promote a responsible attitude
towards natural resources, food, and water during family interactions is described.
The comparison between lightweight ambient and numeric displays is performed in
[20]. Results showed that an abstract ambient display with color-coded visualization
of water usage causes bigger water-saving behavior changes comparing to a numeric
display. In [14], group-based feedback is used to reduce the consumption of paper
within an office environment.
All of these techniques are complementary to real-time dataspaces for water
analytics. The approach we propose here aims to make it easier to implement
such applications by reducing the cost of gathering the necessary data to drive the
applications.
8 Summary
This chapter motivates the need for efficient water information management in
public spaces and presents a Real-time Linked Dataspace approach for water data
services. A high-level architecture, for the Real-time Linked Dataspace, realizes
this approach in the context of the Waternomics project. The Waternomics project
established the utility of this approach with the help of four pilot sites that represent
different scenarios of public spaces. This chapter describes a concrete instantiation
of the Real-time Linked Dataspace approach for two educational institutions, along
with applications supported by the water data services.
Acknowledgements 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.
References
1. Barua, S., Ng, a.W.M., Perera, B.J.C.: Comparative Evaluation of Drought Indexes: Case
Study on the Yarra River Catchment in Australia. Journal of Water Resources Planning and
Management 137(2), 215–226 (2011)
2. Boken, V.K.: Improving a drought early warning model for an arid region using a soil-moisture
index. Applied Geography 29(3), 402–408 (2009)
3. Cancelliere, A., Mauro, G.D., Bonaccorso, B., Rossi, G.: Drought forecasting using the
standardized precipitation index. Water Resources Management 21(5), 801–819 (2007)
4. Cavanillas, J.M., Curry, E., Wahlster, W.: New Horizons for a Data-Driven Economy: A
Roadmap for Usage and Exploitation of Big Data in Europe. Springer Publishing Company,
Incorporated (2016)
5. Curry, E., Degeler, V., Clifford, E., Coakley, D., Costa, A., van Andel, S.J., van de Giesen,
N., Kouroupetroglou, C., Messervey, T., Mink, J., Smit, S.: Linked Water Data for Water
21
In [23], a display to present gas, electricity, and water consumption in an artistic
way is described. In [21], a persuasive application to promote a responsible attitude
towards natural resources, food, and water during family interactions is described.
The comparison between lightweight ambient and numeric displays is performed in
[20]. Results showed that an abstract ambient display with color-coded visualization
of water usage causes bigger water-saving behavior changes comparing to a numeric
display. In [14], group-based feedback is used to reduce the consumption of paper
within an office environment.
All of these techniques are complementary to real-time dataspaces for water
analytics. The approach we propose here aims to make it easier to implement
such applications by reducing the cost of gathering the necessary data to drive the
applications.
8 Summary
This chapter motivates the need for efficient water information management in
public spaces and presents a Real-time Linked Dataspace approach for water data
services. A high-level architecture, for the Real-time Linked Dataspace, realizes
this approach in the context of the Waternomics project. The Waternomics project
established the utility of this approach with the help of four pilot sites that represent
different scenarios of public spaces. This chapter describes a concrete instantiation
of the Real-time Linked Dataspace approach for two educational institutions, along
with applications supported by the water data services.
Acknowledgements 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.
References
1. Barua, S., Ng, a.W.M., Perera, B.J.C.: Comparative Evaluation of Drought Indexes: Case
Study on the Yarra River Catchment in Australia. Journal of Water Resources Planning and
Management 137(2), 215–226 (2011)
2. Boken, V.K.: Improving a drought early warning model for an arid region using a soil-moisture
index. Applied Geography 29(3), 402–408 (2009)
3. Cancelliere, A., Mauro, G.D., Bonaccorso, B., Rossi, G.: Drought forecasting using the
standardized precipitation index. Water Resources Management 21(5), 801–819 (2007)
4. Cavanillas, J.M., Curry, E., Wahlster, W.: New Horizons for a Data-Driven Economy: A
Roadmap for Usage and Exploitation of Big Data in Europe. Springer Publishing Company,
Incorporated (2016)
5. Curry, E., Degeler, V., Clifford, E., Coakley, D., Costa, A., van Andel, S.J., van de Giesen,
N., Kouroupetroglou, C., Messervey, T., Mink, J., Smit, S.: Linked Water Data for Water