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Journal ArticleDOI

An Analysis of the General Data Protection Regulation (EU) 2016/679

TL;DR: In this paper, the authors carried out an analysis of key provisions of the said Regulation with the aim of examining, as much as possible, the possible expectations under the said regulation.
Abstract: On the 27th April 2016, the REGULATION (EU) 2016/679 (GDPR) was adopted by the Member States of the EU with the plan of achieving harmonization and uniformity in the applicable data protection rules in Member States. This Regulation did introduce new provisions into the body of laws on data protection and this could be to some extent knotty owing to their relative novelty. This paper carries out an analysis of key provisions of the said Regulation with the aim of examining, as much as possible, the possible expectations under the said regulation.
Citations
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Journal ArticleDOI
TL;DR: In this paper, the authors introduce a framework that assists utilities to identify energy poor households among their clients, based on an enhanced version of the well-known 10% threshold, which is used in this paper.
Abstract: This study introduces a framework that assists utilities effectively identify energy poor households among their clients. The framework is established upon an enhanced version of the well-known 10%...

17 citations

Proceedings Article
01 Jan 2020
TL;DR: This work provides a comprehensive overview of the symbolic, sub-symbolic and in-between approaches focused in the domain of knowledge graphs, namely, schema representation, schema matching, knowledge graph completion, link prediction, entity resolution, entity classification and triple classification.
Abstract: There is a long and unresolved debate between the symbolic and sub-symbolic methods. However, in recent years, there is a push towards in-between methods. In this work, we provide a comprehensive overview of the symbolic, sub-symbolic and in-between approaches focused in the domain of knowledge graphs, namely, schema representation, schema matching, knowledge graph completion, link prediction, entity resolution, entity classification and triple classification. We critically present key characteristics, advantages and disadvantages of the main algorithms in each domain, and review the use of these methods in knowledge graph related applications.

11 citations


Cites background from "An Analysis of the General Data Pro..."

  • ...Further, based on the General Data Protection Regulation of European Union [9], subsymbolic techniques are proving to be usually restricted in critical or high-risk decision applications such as the medical, legal or military decision applications and the autonomous cars....

    [...]

  • ...This work was partially funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860801....

    [...]

Journal ArticleDOI
TL;DR: The discourse of openness has proved to be a very powerful instrument for promoting new research policies and the (neoliberal) reforms of higher education in all so-called "advanced economies".
Abstract: The discourse of openness has proved to be a very powerful instrument for promoting new research policies and the (neoliberal) reforms of higher education in all so-called ‘advanced economies’. It ...

10 citations

Proceedings ArticleDOI
06 Mar 2019
TL;DR: A conceptual privacy governance framework that incorporates a comprehensive set of privacy components that can assist management in governing privacy across an organisation is proposed by comparing existing privacy governance frameworks and proposing a consolidated framework.
Abstract: Owing to the growth of technological advancements and the enactment of comprehensive data privacy legislation, organisations must meet the requirements of privacy laws. Organisations must incorporate the protection of personal information in their strategic planning and govern it across the organisation. The purpose of this paper is to propose a conceptual privacy governance framework. This is done by comparing existing privacy governance frameworks and proposing a consolidated framework that incorporates a comprehensive set of privacy components that can assist management in governing privacy across an organisation. Such a framework can serve as a point of reference to assist organisations in obtaining the support of senior management, establishing clear processes and delegating responsibilities to individuals, utilising existing standards, and establishing monitoring and audit practices. The privacy governance framework can help to reinforce privacy protection, enhance the organisation's reputation, foster a culture of privacy and ensure compliance with privacy regulatory requirements.

7 citations


Cites background from "An Analysis of the General Data Pro..."

  • ...The latter directive has recently been updated and is now called the General Data Protection Regulation (GDPR) [5], which addresses the latest technological developments [6]....

    [...]

  • ...A comparison study has been done and results show that POPIA is largely in line with the principles of GDPR and other countries [7]....

    [...]

  • ...The latter directive has recently been updated and is now called the General Data Protection Regulation (GDPR) [5], which addresses the latest technological developments [6]....

    [...]

Dissertation
06 Jul 2018
TL;DR: Theoretical framework, theory and hypothesis development, and methodology study 1, 2, and 3 show how the model developed over the course of a sustained period of time transformed the model into a probabilistic model.
Abstract: Expected growth. Theoretical framework. Literature review. Study 1. Methodology study 1. Study 2. Theory and hypothesis development.

7 citations


Cites background from "An Analysis of the General Data Pro..."

  • ...The aim is to provide citizens control over their personal data (Salami, 2017)....

    [...]

  • ...This regulation aims to protect the data and privacy for all individuals in EU, by giving control to individuals (Salami, 2017)....

    [...]

References
More filters
Journal ArticleDOI
TL;DR: In this paper, the authors introduce a framework that assists utilities to identify energy poor households among their clients, based on an enhanced version of the well-known 10% threshold, which is used in this paper.
Abstract: This study introduces a framework that assists utilities effectively identify energy poor households among their clients. The framework is established upon an enhanced version of the well-known 10%...

17 citations

Proceedings Article
01 Jan 2020
TL;DR: This work provides a comprehensive overview of the symbolic, sub-symbolic and in-between approaches focused in the domain of knowledge graphs, namely, schema representation, schema matching, knowledge graph completion, link prediction, entity resolution, entity classification and triple classification.
Abstract: There is a long and unresolved debate between the symbolic and sub-symbolic methods. However, in recent years, there is a push towards in-between methods. In this work, we provide a comprehensive overview of the symbolic, sub-symbolic and in-between approaches focused in the domain of knowledge graphs, namely, schema representation, schema matching, knowledge graph completion, link prediction, entity resolution, entity classification and triple classification. We critically present key characteristics, advantages and disadvantages of the main algorithms in each domain, and review the use of these methods in knowledge graph related applications.

11 citations

Journal ArticleDOI
TL;DR: The discourse of openness has proved to be a very powerful instrument for promoting new research policies and the (neoliberal) reforms of higher education in all so-called "advanced economies".
Abstract: The discourse of openness has proved to be a very powerful instrument for promoting new research policies and the (neoliberal) reforms of higher education in all so-called ‘advanced economies’. It ...

10 citations

Proceedings ArticleDOI
06 Mar 2019
TL;DR: A conceptual privacy governance framework that incorporates a comprehensive set of privacy components that can assist management in governing privacy across an organisation is proposed by comparing existing privacy governance frameworks and proposing a consolidated framework.
Abstract: Owing to the growth of technological advancements and the enactment of comprehensive data privacy legislation, organisations must meet the requirements of privacy laws. Organisations must incorporate the protection of personal information in their strategic planning and govern it across the organisation. The purpose of this paper is to propose a conceptual privacy governance framework. This is done by comparing existing privacy governance frameworks and proposing a consolidated framework that incorporates a comprehensive set of privacy components that can assist management in governing privacy across an organisation. Such a framework can serve as a point of reference to assist organisations in obtaining the support of senior management, establishing clear processes and delegating responsibilities to individuals, utilising existing standards, and establishing monitoring and audit practices. The privacy governance framework can help to reinforce privacy protection, enhance the organisation's reputation, foster a culture of privacy and ensure compliance with privacy regulatory requirements.

7 citations

Dissertation
06 Jul 2018
TL;DR: Theoretical framework, theory and hypothesis development, and methodology study 1, 2, and 3 show how the model developed over the course of a sustained period of time transformed the model into a probabilistic model.
Abstract: Expected growth. Theoretical framework. Literature review. Study 1. Methodology study 1. Study 2. Theory and hypothesis development.

7 citations