The demo presents Snow Watch, a citizen science system that supports the acquisition and processing of mountain images for the purpose of extracting snow information, predicting the amount of water available in the dry season, and supporting a multi-objective lake regulation problem. We discuss how the proposed architecture has been rapidly prototyped using a general-purpose architecture to collect sensor and user-generated Web content from heterogeneous sources, process it for knowledge extraction, relying on the contribution of voluntary crowds, engaged and retained with gamification techniques.

SnowWatch: A multi-modal citizen science application

FEDOROV, ROMAN;FRATERNALI, PIERO;PASINI, CHIARA
2016

Abstract

The demo presents Snow Watch, a citizen science system that supports the acquisition and processing of mountain images for the purpose of extracting snow information, predicting the amount of water available in the dry season, and supporting a multi-objective lake regulation problem. We discuss how the proposed architecture has been rapidly prototyped using a general-purpose architecture to collect sensor and user-generated Web content from heterogeneous sources, process it for knowledge extraction, relying on the contribution of voluntary crowds, engaged and retained with gamification techniques.
WEB ENGINEERING (ICWE 2016)
9783319387901
9783319387901
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1009319
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