Quotation Fernández, Javier D., Sabou, Marta, Kirrane, Sabrina, Kiesling, Elmar, Ekaputra, Fajar J., Azzam, Amr, Wenning, Rigo. 2020. User consent modeling for ensuring transparency and compliance in smart cities. Personal and Ubiquitous Computing. 24 (4), 465-486.




Smart city infrastructures such as transportation and energy networks are evolving into so-called cyber physical social systems (CPSSs), which collect and leverage citizens’ data in order to adapt services to citizens’ needs. The privacy implications of such systems are, however, significant and need to be addressed. Current systems either try to escape the privacy challenge via anonymization or use very rigid, hard-coded workflows that have been agreed with a data protection authority. In the case of the latter, there is a severe impact on data quality and richness, whereas in the former, only these hard-coded flows are permitted resulting in diminished functionality and potential. We address these limitations via user modeling in terms of investigating how to model and semantically represent user consent, preferences, and data usage policies that will guide the processing of said data in the data lake. Data protection is a horizontal field and consequently very wide. Therefore, we focus on a concrete setting where we extend the domain-agnostic SPECIAL policy language for a smart mobility use case supplied by Vienna’s largest utility provider. To that end, (1) we create an extension of SPECIAL in terms of a core CPSS vocabulary that lowers the semantic gap between the domain agnostic terms of SPECIAL and the vocabulary of the use case; (2) we propose a workflow that supports defining domain-specific vocabularies for complex CPSSs; and (3) show that these two contributions allow successfully achieving the goals of our setting.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Personal and Ubiquitous Computing
Citation Index SCI
WU-Journal-Rating new INF-A
Language English
Title User consent modeling for ensuring transparency and compliance in smart cities
Volume 24
Number 4
Year 2020
Page from 465
Page to 486
Reviewed? Y
URL https://link.springer.com/article/10.1007/s00779-019-01330-0
DOI http://dx.doi.org/10.1007/s00779-019-01330-0
Open Access Y
Open Access Link https://link.springer.com/content/pdf/10.1007/s00779-019-01330-0.pdf


Kirrane, Sabrina (Details)
Kiesling, Elmar (Details)
Azzam, Amr (Details)
Ekaputra, Fajar J. (TU Wien, Austria)
Fernández, Javier D. (F. Hoffmann-La Roche AG, Switzerland)
Sabou, Marta (TU Wien, Austria)
Wenning, Rigo (W3C, Sophia-Antipolis, France)
Institute for Data, Process and Knowledge Management IN (Details)
Institute for Information Systems and New Media IN (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1108 Informatics (Details)
1109 Information and data processing (Details)
1122 Artificial intelligence (Details)
1138 Information systems (Details)
1146 Management information systems (Details)
5255 Data security and data privacy (Details)
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