Managing Sensor Data Uncertainty: a data quality approach

Claudia Gutierrez Rodriguez 1 Sylvie Servigne 1
1 BD - Base de Données
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : With an increasingly technological improvement, sensors infrastructure actually supports many current and promising environmental applications. Environmental Monitoring Systems built on such sensors removes geographical, temporal and other restraints while increasing both the coverage and the quality of real world understanding. However, a main issue for such applications is the uncertainty of data coming from sensors, which may impact experts’ decisions. In this paper, we address this problem with an approach dedicated to provide environmental monitoring applications and users with data quality information.
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Claudia Gutierrez Rodriguez, Sylvie Servigne. Managing Sensor Data Uncertainty: a data quality approach. International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2013, 1, 4, pp.35-54. ⟨10.4018/jaeis.2013010104⟩. ⟨hal-01339140⟩

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