References of "Robaldo, Livio 50008909"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailThe DAta Protection REgulation COmpliance Model
Bartolini, Cesare UL; Lenzini, Gabriele UL; Robaldo, Livio UL

in IEEE Security and Privacy (2019), 17(6), 37-45

Understanding whether certain technical measures comply with the General Data Protection Regulation’s (GDPR’s) principles is complex legal work. This article describes a model of the GDPR that allows for ... [more ▼]

Understanding whether certain technical measures comply with the General Data Protection Regulation’s (GDPR’s) principles is complex legal work. This article describes a model of the GDPR that allows for semiautomatic processing of legal text and the leveraging of state-of-the-art legal informatics approaches, which are useful for legal reasoning, software design, information retrieval, or compliance checking. [less ▲]

Detailed reference viewed: 232 (16 UL)
Full Text
Peer Reviewed
See detailA Framework to Reason about the Legal Compliance of Security Standards
Bartolini, Cesare UL; Giurgiu, Andra UL; Lenzini, Gabriele UL et al

in Proceedings of the Tenth International Workshop on Juris-informatics (JURISIN) (2016, November)

Achieving compliance with legal regulations is no easy task. Normally, laws state general requirements but do not provide clear parameters to determine when such requirements are met. On a different level ... [more ▼]

Achieving compliance with legal regulations is no easy task. Normally, laws state general requirements but do not provide clear parameters to determine when such requirements are met. On a different level, industrial standards and best practices define specific objectives that can be certified by means of auditing procedures from qualified bodies. Implementing a standard does not per se guarantee legal compliance, with the rare exception when the standard is also endorsed by the law itself. But standards and laws in the same domain may have overlaps and correlations, so adopting the former may provide an argument to demonstrate that adequate measures were taken to achieve legal compliance. In this paper, we introduce a framework that, using state-of-the-art Natural Language Semantics techniques, helps process legal documents and standards to build a knowledge base to store their logic representations, and the correlations between them. The knowledge base will help legal experts assess what requirements of the law are met by the standard and, consequently, recognize what requirements still need to be implemented to fill the remaining gaps. An application of the framework is exemplified by comparing a provision of the European General Data Protection Regulation against the ISO/IEC 27001:2013 standard. [less ▲]

Detailed reference viewed: 438 (38 UL)
Full Text
Peer Reviewed
See detailTowards legal compliance by correlating Standards and Laws with a semi-automated methodology
Bartolini, Cesare UL; Lenzini, Gabriele UL; Robaldo, Livio UL

in Proceedings of the 28 Benelux Conference on Artificial Intelligence (BNAIC) (2016, November)

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 ... [more ▼]

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. [less ▲]

Detailed reference viewed: 294 (14 UL)
Full Text
Peer Reviewed
See detailTextual Inference with Deep Learning Technique
Adebayo, Kolawole; Di Caro, Luigi; Robaldo, Livio UL et al

in Proceedings of the 28th Annual Benelux Conference on Artificial Intelligence (BNAIC2016). (2016)

Detailed reference viewed: 150 (8 UL)
Full Text
Peer Reviewed
See detailClassifying and Extracting Elements of Norms for Ontology Population using Semantic Role Labelling
Humphreys, Llio UL; Boella, Guido; Robaldo, Livio UL et al

in The 15th International Conference on Artificial Intelligence & Law — San Diego, June 8-12, 2015 (2015)

Detailed reference viewed: 300 (23 UL)