Open data sources for the development of mobile applications and forecast of microbial contamination in bathing waters
Open data sources for the development of mobile applications and forecast of microbial contamination in bathing waters
This paper describes a service oriented architecture for mobile and web applications and the enablement of participatory observations of the environment.
The architecture hosts generic microbial risk forecast models in bathing zones, which are trained by heterogeneous input data. Open observation
data sources, specializing in water quality indicators and environmental processes are used for the construction of such applications. Nevertheless, the encountered
integration of the open data sources was challenging due to the various incompatibilities found in data samples. These included gaps in the data with diverse temporal and spatial coverage as well as conflicting collection policies.
303-310
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Sabeur, Zoheir
e6e98155-eadb-4b0f-ba88-ba5c313f0e24
2015
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Sabeur, Zoheir
e6e98155-eadb-4b0f-ba88-ba5c313f0e24
Correndo, Gianluca and Sabeur, Zoheir
(2015)
Open data sources for the development of mobile applications and forecast of microbial contamination in bathing waters.
ISESS 2015, Melbourne, 25-27 March 2015, Melbourne, Australia.
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Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper describes a service oriented architecture for mobile and web applications and the enablement of participatory observations of the environment.
The architecture hosts generic microbial risk forecast models in bathing zones, which are trained by heterogeneous input data. Open observation
data sources, specializing in water quality indicators and environmental processes are used for the construction of such applications. Nevertheless, the encountered
integration of the open data sources was challenging due to the various incompatibilities found in data samples. These included gaps in the data with diverse temporal and spatial coverage as well as conflicting collection policies.
More information
Published date: 2015
Venue - Dates:
ISESS 2015, Melbourne, 25-27 March 2015, Melbourne, Australia, 2015-01-01
Organisations:
IT Innovation
Identifiers
Local EPrints ID: 380899
URI: http://eprints.soton.ac.uk/id/eprint/380899
PURE UUID: 2275e9f9-d2e3-45f4-9a77-8aefa343725f
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Date deposited: 25 Aug 2015 14:12
Last modified: 14 Mar 2024 21:06
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Contributors
Author:
Gianluca Correndo
Author:
Zoheir Sabeur
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