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PrOnto: Privacy Ontology for Legal Reasoning

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Electronic Government and the Information Systems Perspective (EGOVIS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11032))

Abstract

The GDPR (GDPR, REGULATION (EU) 2016/679 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)) introduces the self-assessment of digital risks and the modulation of duties on the basis of the impact assessment analysis, including specific measures that intend to safeguard the data subject’s human dignity and fundamental rights. Semantic web technologies and legal reasoning tools can support privacy-by-default and legal compliance. In this light, this paper presents a first draft of a legal ontology on the GDPR, called PrOnto, that has the goal of providing a legal knowledge modelling of the privacy agents, data types, types of processing operations, rights and obligations. The methodology used here is based on legal theory analysis joined with ontological patterns.

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Notes

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    http://www.essepuntato.it/graffoo/, http://www.yworks.com/en/products/yfiles/yed.

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    http://www.essepuntato.it/lode.

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    https://wwwen.uni.lu/research/fstc/computer_science_and_communications_research_unit/research_projects/data_protection_regulation_compliance.

  6. 6.

    https://www.cnil.fr/en/open-source-pia-software-helps-carry-out-data-protection-impact-assesment.

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Acknowledgement

This work was partially supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 690974 “MIREL: MIning and REasoning with Legal texts” and by the Luxembourg National Research Fund (FNR) CORE project C16/IS/11333956 “DAPRECO: DAta Protection REgulation COmpliance”.

Author information

Authors and Affiliations

  1. University of Bologna, CIRSFID, Via Galliera 3, 40121, Bologna, Italy

    Monica Palmirani, Michele Martoni & Arianna Rossi

  2. SnT - Interdisciplinary Centre for Security, Reliability and Trust, Université du Luxembourg, JFK Building, 29, Avenue J.F. Kennedy, 1855, Luxembourg City, Luxembourg

    Cesare Bartolini & Livio Robaldo

Authors
  1. Monica Palmirani
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  2. Michele Martoni
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  3. Arianna Rossi
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  4. Cesare Bartolini
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  5. Livio Robaldo
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Corresponding author

Correspondence to Monica Palmirani .

Editor information

Editors and Affiliations

  1. Corvinus University of Budapest, Budapest, Hungary

    Andrea Kő

  2. Institute of Legal Information Theory and Techniques, Florence, Italy

    Enrico Francesconi

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Palmirani, M., Martoni, M., Rossi, A., Bartolini, C., Robaldo, L. (2018). PrOnto: Privacy Ontology for Legal Reasoning. In: Kő, A., Francesconi, E. (eds) Electronic Government and the Information Systems Perspective. EGOVIS 2018. Lecture Notes in Computer Science(), vol 11032. Springer, Cham. https://doi.org/10.1007/978-3-319-98349-3_11

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  • DOI: https://doi.org/10.1007/978-3-319-98349-3_11

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  • Online ISBN: 978-3-319-98349-3

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