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Digital Services Development Using Statistics Tools to Emphasize Pollution Phenomena

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Exploring Services Science (IESS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 279))

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Abstract

This paper presents a perspective related to information service integration for pollution awareness evaluation. The proposed methodology is based on indirect information analysis as retrieved from available literature over time. A time series - type analysis highlighting usage of pollution-related terms is employed. The displayed impact of pollution is evaluated based on public awareness, exposed through digitalized available publications. Estimation techniques and tools are also employed in order to evaluate the exact impact of pollution related events on society. The proposed methodology fosters the design of improved environmental monitoring smart services, specifically addressing the development of data processing components in information sub-systems of EISs (Enterprise Information Systems).

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Acknowledgements

The research presented in this paper is supported by the DATA4WATER Project: H2020-TWINN-2015, Project ID: 690900, Funded under: H2020-EU.4.b. - Twinning of research institutions.

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Authors and Affiliations

  1. Faculty of Automatic Control and Computers, University Politehnica of Bucharest, Splaiul Independentei 313, 060042, Bucharest, Romania

    Costin Gabriel Chiru, Mariana Ionela Mocanu, Monica Drăgoicea & Anca Daniela Ioniţă

Authors
  1. Costin Gabriel Chiru
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  2. Mariana Ionela Mocanu
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  3. Monica Drăgoicea
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  4. Anca Daniela Ioniţă
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Corresponding author

Correspondence to Costin Gabriel Chiru .

Editor information

Editors and Affiliations

  1. Faculty of Economics, eCampus University, Rome, Italy

    Stefano Za

  2. Department of Automatic Control and System Engineering, University Politehnica of Bucharest, Bucharest, Romania

    Monica Drăgoicea

  3. Università Cattolica del Sacro Cuore, Milan, Italy

    Maurizio Cavallari

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Chiru, C.G., Mocanu, M.I., Drăgoicea, M., Ioniţă, A.D. (2017). Digital Services Development Using Statistics Tools to Emphasize Pollution Phenomena. In: Za, S., Drăgoicea, M., Cavallari, M. (eds) Exploring Services Science. IESS 2017. Lecture Notes in Business Information Processing, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-319-56925-3_29

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  • DOI: https://doi.org/10.1007/978-3-319-56925-3_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56924-6

  • Online ISBN: 978-3-319-56925-3

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