Semantic analysis of Citizen Sensing, Crowdsourcing and VGI
Article 2014 en
Authors
AC
Alexis Comber
SS
Sven Schade
LS
Linda See
Abstract
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This paper describes a semantic analysis of terms used to describe citizen sensing and crowdsourced data use in scientific analyses. It applies a latency analysis to journal abstracts downloaded from Scopus that matched one of number of terms related to crowd sourced data and citizen science. The latency analysis shows how the terms associated with crowdsourcing are related and how they have evolved over time.
Juan Carlos Laso Bayas, Linda See, Steffen Fritz, Tobias Sturn, Christoph Perger, Martina Dürauer, Mathias Karner, Inian Moorthy, Dmitry Schepaschenko, Dahlia Domian, Ian McCallum
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