Reference : Towards legal compliance by correlating Standards and Laws with a semi-automated meth...
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Law / European Law
http://hdl.handle.net/10993/34476
Towards legal compliance by correlating Standards and Laws with a semi-automated methodology
English
Bartolini, Cesare mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Giurgiu, Andra [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
Lenzini, Gabriele mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Robaldo, Livio [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >]
2017
Communications in Computer and Information Science
Bosse, Tibor
Bredeweg, Bert
Springer International Publishing
BNAIC 2016: Artificial Intelligence, Revised Selected Papers
47-62
Yes
978-3-319-67467-4
BNAIC 2016
November 10-11, 2016
Amsterdam
The Netherlands
[en] Legal compliance ; Legal requirements ; Security standards ; General Data Protection Regulation
[en] Since generally legal regulations do not provide clear parameters to determine when their requirements are met, achieving legal compliance is not trivial. The adoption of standards could help create an argument of compliance in favour of the implementing party, provided there is a clear correspondence between the provisions of a specific standard and the regulation's requirements. However, identifying such correspondences is a complex process which is complicated further by the fact that the established correlations may be overridden in time e.g., because newer court decisions change the interpretation of certain legal provisions. To help solve these problems, 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 with the ISO/IEC 27018:2014 standard.
http://hdl.handle.net/10993/34476
10.1007/978-3-319-67468-1_4
https://link.springer.com/chapter/10.1007%2F978-3-319-67468-1_4
H2020 ; 690974 - MIREL - MIREL - MIning and REasoning with Legal texts
FnR ; FNR11333956 > Gabriele Lenzini > DAPRECO > Data Protection Regulation Compliance > 01/02/2017 > 30/06/2019 > 2016

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