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).
Keywords
- Digital transformation
- Business process digitalization
- Digital information services
- Pollution events
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Markovitch, S., Willmott, P.: Accelerating the digitization of business processes. A McKinsey & Company Report. http://www.mckinsey.com/business-functions/digital-mckinsey/
Li, H., Mäntymäki, M., Zhang, X.: Digital Services and Information Intelligence: IFIP Advances in Information and Communication Technology, vol. 445. Springer, Heidelberg (2014)
Spohrer, J.C., Bassano, C., Piciocchi, P., Siddike, M.A.K.: What makes a system smart? Wise? In: Ahram, T.Z., Karwowski, W. (eds.) Advances in The Human Side of Service Engineering. Advances in Intelligent Systems and Computing, vol. 494, pp. 23–34. Springer, Cham (2017)
Moore, S.: Digitalization or Automation - Is There a Difference? Gartner Report. http://www.gartner.com/smarterwithgartner/
Demirkan, H., Spohrer, J.C.: Emerging service orientations and transformations (SOT). Inf. Syst. Front. 18(3), 407–411 (2016)
Scherer, A., Wünderlich, N.V., von Wangenheim, F.: The value of self-service: long-term effects of technology-based self-service usage on customer retention. MIS Q. 39(1), 177–200 (2015)
The acceleration of third platform innovation: here comes the DX economy. i-SCOOP Whitepaper. http://www.i-scoop.eu/the-acceleration-of-third-platform-innovation-here-comes-the-dx-economy/
Ostrom, A.L., Parasuraman, A., Bowen, D.E., Patrcio, L., Voss, C.A.: Service research priorities in a rapidly changing context. J. Serv. Res. 18(2), 127–159 (2015)
Pitt, J.: This Pervasive Day: The Potential and Perils of Pervasive Computing. World Scientific, Singapore (2012)
Westerman, G., McAfee, A.: The Digital Advantage: How Digital Leaders Outperform Their Peers in Every Industry. MIT Center for Digital Business, Research Report. http://ebusiness.mit.edu/research/Briefs/TheDigitalAdvantage.pdf
Böhmann, T., Leimeister, J.M., Möslein, K.: Service systems engineering - a field for future information systems research. Bus. Inf. Syst. Eng. 6(2), 73–79 (2014)
Romero, D., Vernadat, F.: Enterprise information systems state of the art: past, present and future trends. Comput. Ind. 79, 3–13 (2016)
Mortality and burden of disease from water and sanitation. World Health Organization Report. http://www.who.int/gho/phe/water_sanitation/burden/en/
Richards, M., Ghanem, M., Osmond, M., Guo, Y., Hassard, J.: Grid-based analysis of air pollution data. Ecol. Model. 194(1–3), 274–286 (2006)
Matějíček, L., Benešová, L., Tonika, J.: Ecological modelling of nitrate pollution in small river basins by spreadsheets and GIS. Ecol. Model. 170(2–3), 245–263 (2003)
Rubner, Y., Tomasi, C., Guibas, L.J.: A metric for distributions with applications to image databases. In: Sixth International Conference on Computer Vision, pp. 59–66. IEEE Press (1998)
Palshikar, G.K.: Simple algorithms for peak detection in time-series, Work-in-Progress. https://www.researchgate.net/
Miller, G.A.: WordNet: a lexical database for English. Commun. ACM 38(11), 39–41 (1995)
Miller, G.A., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.J.: Introduction to wordnet: an on-line lexical database. Int. J. Lexicogr. 3(4), 235–244 (1990)
VISUWORDS on-line graphical dictionary. http://visuwords.com/
Michel, J.B., Shen, Y.K., Aiden, A.P., Veres, A., Gray, M.K., The Google Books Team, Pickett, J.P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M.A., Aiden, E.L.: Quantitative analysis of culture using millions of digitized books. Science 331(6014), 176–182 (2011)
Lin, Y., Michel, J.B., Aiden, E.L., Orwant, J., Brockman, W., Petrov, S.: Syntactic annotations for the google books Ngram corpus. In: ACL 2012 Proceedings of the ACL 2012 System Demonstrations, pp. 169–174. ACM Digital Library (2012)
Wijaya, D.T., Yeniterzi, R.: Understanding semantic change of words over centuries. In: International Workshop on DETecting and Exploiting Cultural diversiTy on the Social Web, DETECT 2011, pp. 35–40. ACM Digital Library (2011)
Petersen, A.M., Tenenbaum, J., Havlin, S., Stanley, H.E.: Statistical laws governing fluctuations in word use from word birth to word death. Sci. Rep. 2, Article no. 313. http://www.nature.com/articles/srep00313
Mitra, S., Mitra, R., Riedl, M., Biemann, C., Mukherjee, A., Goyal, P.: That’s sick dude! Automatic identification of word sense change across different timescales. In: 52nd Annual Meeting of the Association for Computational Linguistics, pp. 1020–1029. ACL Press (2014)
Acerbi, A., Lampos, V., Garnett, P., Bentley, R.A.: The expression of emotions in 20th century books. PLoS ONE 8(3), e59030 (2013). http://doi.org/10.1371/journal.pone.0059030
Popa, T., Rebedea, T., Chiru, C.G.: Detecting and describing historical periods in a large corpora. In: 26th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 764–770. IEEE Press (2014)
Control of Pollution Act 1974. http://www.legislation.gov.uk/ukpga/1974/40
Hudson River Cleanup. United States Environmental Protection Agency. https://www3.epa.gov/hudson/cleanup.html
Laxman, S.: ‘Smiling Buddha’ had caught US off-guard in 1974. The Times of India, 7 December 2011. http://timesofindia.indiatimes.com/
Ionita, A.D., Eftimie, C.-T., Lewis, G., Litoiu, M.: Integration of hazard management services. In: Borangiu, T., Drăgoicea, M., Nóvoa, H. (eds.) IESS 2016. LNBIP, vol. 247, pp. 355–364. Springer, Cham (2016). doi:10.1007/978-3-319-32689-4_27
Ioniţă, A.D., Liţoiu, M., Lewis, G.: Migrating Legacy Applications: Challenges in Service Oriented Architecture and Cloud Computing Environments. IGI Global, Hershey (2013)
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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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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