Reference : Towards legal compliance by correlating Standards and Laws with a semi-automated meth...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Law / European Law
	To cite this reference:	http://hdl.handle.net/10993/28957

Title :	Towards legal compliance by correlating Standards and Laws with a semi-automated methodology
Language :	English
Author, co-author :	Bartolini, Cesare [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Lenzini, Gabriele [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
	Robaldo, Livio [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	Nov-2016
Main document title :	Proceedings of the 28 Benelux Conference on Artificial Intelligence (BNAIC)
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	28th Benelux Conference on Artificial Intelligence (BNAIC)
Event date :	from 10-11-2016 to 11-11-2016
Event place (city) :	Amsterdam
Event country :	The Netherlands
Abstract :	[en] Since legal regulations do not generally provide clear parameters to determine when their requirements are met, achieving legal compliance is not trivial. If there were a clear correspondence between the provisions of a specific standard and the regulation’s requirements, one could implement the standard to claim a presumption of compliance. However, finding those correspondences is a complex process; additionally, correlations may be overridden in time, for instance, because newer court decisions change the interpretation of certain provisions. To help solve this problem, we present a framework that supports legal experts in recognizing correlations between provisions in a standard and requirements in a given law. The framework relies on state-of-the-art Natural Language Semantics techniques to process the linguistic terms of the two documents, and maintains a knowledge base of the logic representations of the terms, together with their defeasible correlations, both formal and substantive. An application of the framework is shown by comparing a provision of the European General Data Protection Regulation against the ISO/IEC 27018:2014 standard.
Target :	Researchers ; Professionals ; Others
Permalink :	http://hdl.handle.net/10993/28957
Framework Programme / European Project :	H2020 ; 690974 - MIREL - MIREL - MIning and REasoning with Legal texts

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