Provenance in Systems for Situation Awareness in Environmental Monitoring

Abstract

Part 2: Information Systems, Information Modelling and SemanticsInternational audienceAs environmental monitoring systems increasingly automate the collection and processing of environmental sensor network data, the technical components of such systems can automatically obtain and maintain higher levels of situation awareness—awareness of the monitored part of reality. In order to increase confidence in the correctness of situation awareness maintained by such systems it is important to explicitly model provenance. We present an alignment of the PROV ontology with ontologies used in a software framework for situation awareness in environmental monitoring, called Wavellite. The extended vocabulary enables the explicit representation of provenance in Wavellite applications. We demonstrate the implementation for a concrete scenario

Curating Scientific Information in Knowledge Infrastructures

“…Our use case, building on earlier related work (Stocker et al, 2013(Stocker et al, , 2014Stocker, 2015Stocker, , 2017 is in aerosol science, specifically for the study of atmospheric new particle formation (NPF) events using polydisperse aerosol particle size distribution observational data as measured by a differential mobility particle sizer (DMPS) (Aalto et al, 2001). Central to NPF events is the formation of aerosol particles at specific spatio-temporal locations and the growth of particle diameter size over the course of a few hours (Kulmala et al, 2004).…”