Research in Progress: Implementation of an Integrated Data Model for an Improved Monitoring of Environmental Processes

Robert Schima , Tobias Goblirsch , Christoph Salbach , Bogdan Franczyk , Michael Aleithe , Jan Bumberger , Peter Dietrich

Abstract

How can we benefit from innovative open-source technologies such as mobile sensors and open data platforms in the field of environmental monitoring? Due to the fact that we are facing challenging problems in terms of climate change, urbanization and a growing world population, new strategies for a more comprehensive environmental monitoring have to be developed. Here, we need to create user-specific and easy to use infrastructures as assistance tools for a comprehensive and mobile data acquisition, data processing and data provision. With regard to the variety of existing data sources, data acquisition tools and scales, this paper is focused on strategies and methods for an service oriented monitoring approach based on an integrated data model. To this end, a formal connection was defined by combining spatial,temporal and contextual information of sensor readings into one measure called the individual specific exposure (ISE), which will be later extended to a predictive individual exposure by using historical data
Author Robert Schima
Robert Schima,,
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, Tobias Goblirsch
Tobias Goblirsch,,
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, Christoph Salbach
Christoph Salbach,,
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, Bogdan Franczyk (MISaF / IBI / DISD) - [inna]
Bogdan Franczyk,,
- Department of Information Systems Design
- inna
, Michael Aleithe
Michael Aleithe,,
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, Jan Bumberger
Jan Bumberger,,
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, Peter Dietrich
Peter Dietrich,,
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Pages332-339
Publication size in sheets0.5
Book Abramowicz Witold, Alt Rainer, Franczyk Bogdan* (eds.): Business Information Systems Workshop. 19th International Conference. BIS 2016 Proceedings, Lecture Notes in Business Information Processing, no. 263, 2017, Springer International Publishing, ISBN 978-3-319-52463-4, [978-3-319-52464-1], 430 p., DOI:10.1007/978-3-319-52464-1
Keywords in Englishenvironmental monitoring, mobile data acquisition, individual specific exposure, data integration, fusion of data
DOIDOI:10.1007/978-3-319-52464-1_30
URL https://www.springer.com/it/book/9783319524634
Languageen angielski
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Schima_Goblirsch_Salbach_Franczyk_Aleithe_Bumberger_Dietrich_Research_ in_ Progress_ Implementation2016.pdf 1,48 MB
Score (nominal)15
ScoreMinisterial score = 15.0, 28-08-2019, ChapterFromConference
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