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Towards legal compliance by correlating Standards and Laws with a semi-automated methodology
Bartolini, Cesare; Lenzini, Gabriele; Robaldo, Livio
2016In Proceedings of the 28 Benelux Conference on Artificial Intelligence (BNAIC)
Peer reviewed
 

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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.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
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)
External co-authors :
no
Language :
English
Title :
Towards legal compliance by correlating Standards and Laws with a semi-automated methodology
Publication date :
November 2016
Event name :
28th Benelux Conference on Artificial Intelligence (BNAIC)
Event place :
Amsterdam, Netherlands
Event date :
from 10-11-2016 to 11-11-2016
Audience :
International
Main work title :
Proceedings of the 28 Benelux Conference on Artificial Intelligence (BNAIC)
Peer reviewed :
Peer reviewed
Focus Area :
Law / European Law
European Projects :
H2020 - 690974 - MIREL - MIREL - MIning and REasoning with Legal texts
Funders :
CE - Commission Européenne [BE]
Available on ORBilu :
since 01 December 2016

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