Reference : Using Ontologies to Model Data Protection Requirements in Workflows

	Document type :	Parts of books : Contribution to collective works
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/33856

Title :	Using Ontologies to Model Data Protection Requirements in Workflows
Language :	English
Author, co-author :	Bartolini, Cesare [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Muthuri, Robert [> >]
	Cristiana, Santos [> >]
Publication date :	2017
Main document title :	New Frontiers in Artificial Intelligence
Editor :	Otake, Mihoko
	Kurahashi, Setsuya
	Ota, Yuiko
	Satoh, Ken
	Bekki, Daisuke
Publisher :	Springer International Publishing
Collection and collection volume :	Lecture Notes in Artificial Intelligence; 10091
Pages :	233-248
Peer reviewed :	Yes
ISBN :	978-3-319-50952-5
Keywords :	[en] Legal ontology ; Data protection ; General Data Protection Regulation ; Compliance ; Business process ; BPMN
Abstract :	[en] Data protection, currently under the limelight at the European level, is undergoing a long and complex reform that is finally approaching its completion. Consequently, there is an urgent need to customize semantic standards towards the prospective legal framework. The aim of this paper is to provide a bottom-up ontology describing the constituents of data protection domain and its relationships. Our contribution envisions a methodology to highlight the (new) duties of data controllers and foster the transition of IT-based systems, services, tools and businesses to comply with the new General Data Protection Regulation. This structure may serve as the foundation for the design of data protection compliant information systems.
Target :	Researchers ; Professionals
Permalink :	http://hdl.handle.net/10993/33856
DOI :	10.1007/978-3-319-50953-2_17
Other URL :	http://link.springer.com/chapter/10.1007/978-3-319-50953-2_17

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