Acquisition and Representation of Knowledge for Atmospheric New Particle Formation - Environmental Software Systems: Fostering Information Sharing Access content directly
Conference Papers Year : 2013

Acquisition and Representation of Knowledge for Atmospheric New Particle Formation

Markus Stocker
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  • PersonId : 983233
Elham Baranizadeh
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  • PersonId : 1000403
Amar Hamed
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  • PersonId : 1000404
Mauno Rönkkö
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  • PersonId : 983234
Annele Virtanen
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  • PersonId : 1000405
Harri Portin
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Mika Komppula
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  • PersonId : 850419
Mikko Kolehmainen
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  • PersonId : 983235

Abstract

Sensors are used in environmental science to monitor an increasingly large multitude of properties of real world phenomena. An important scientific aim of such monitoring is more accurate and more complete understanding of phenomena, with respect to, e.g., their formation, development, or interactions. Properties and phenomena may be, for instance, mass or concentration and particulate matter or eutrophication, respectively. Typically, measurement data must undergo considerable processing in order to become useful to a scientific aim. We outline the architecture and implementation of an ontology-based environmental software system for the automated representation of knowledge for real world situations acquired from measurement data. We evaluate and discuss the system for the automated representation of knowledge for situations of atmospheric new particle formation. Such knowledge is acquired from measurement data for the particle size distribution of a polydisperse aerosol, as measured by a differential mobility particle sizer.
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hal-01457439 , version 1 (06-02-2017)

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Markus Stocker, Elham Baranizadeh, Amar Hamed, Mauno Rönkkö, Annele Virtanen, et al.. Acquisition and Representation of Knowledge for Atmospheric New Particle Formation. 10th International Symposium on Environmental Software Systems (ISESS), Oct 2013, Neusiedl am See, Austria. pp.98-108, ⟨10.1007/978-3-642-41151-9_10⟩. ⟨hal-01457439⟩
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