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   Populating legal ontologies using semantic role labeling; ; van der Torre, Leon  et alin Artificial Intelligence and Law (2021), 29(2), 171-211 This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal semantic technologies manually. It describes a semantic role labeling based information extraction ... [more ▼] This article seeks to address the problem of the ‘resource consumption bottleneck’ of creating legal semantic technologies manually. It describes a semantic role labeling based information extraction system to extract definitions and norms from legislation and represent them as structured norms in legal ontologies. The output is intended to help make laws more accessible, understandable, and searchable in a legal document management system. [less ▲] Detailed reference viewed: 32 (5 UL) The DAta Protection REgulation COmpliance ModelBartolini, Cesare ; Lenzini, Gabriele ; Robaldo, Livio 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)Formalizing GDPR provisions in reified I/O logic: the DAPRECO knowledge baseRobaldo, Livio ; Bartolini, Cesare ; Lenzini, Gabriele et alin Journal of Logic, Language and Information (2019) Detailed reference viewed: 177 (20 UL)Legal Ontology for Modelling GDPR Concepts and Norms; Bartolini, Cesare ; et alin JURIX 2018 proceedings (2018) Detailed reference viewed: 213 (25 UL)PrOnto: Privacy Ontology for Legal Reasoning; ; Rossi, Arianna et alin International Conference on Electronic Government and the Information Systems Perspective (2018) Detailed reference viewed: 346 (32 UL)Legal Reasoning and Big Data: Opportunities and Challenges; ; et al in Legal Reasoning and Big Data: Opportunities and Challenges (2018) Detailed reference viewed: 145 (5 UL)The European Legal Taxonomy Syllabus: A multi-lingual, multi-level ontology framework to untangle the web of European legal terminology; ; et al in Applied Ontology (2017) Detailed reference viewed: 347 (10 UL)A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives; ; et al in A Unifying Similarity Measure for Automated Identification of National Implementations of European Union Directives (2017) Detailed reference viewed: 321 (18 UL)Norm-based deontic logic for access control, some computational results; Robaldo, Livio in Future Generation Computer Systems (2017) Detailed reference viewed: 131 (5 UL)Towards legal compliance by correlating Standards and Laws with a semi-automated methodologyBartolini, Cesare ; Giurgiu, Andra ; Lenzini, Gabriele et alin Bosse, Tibor; Bredeweg, Bert (Eds.) Communications in Computer and Information Science (2017) 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 ... [more ▼] 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. [less ▲] Detailed reference viewed: 300 (29 UL)Concept Recognition in European and National Law; ; et al in proc. of The 30th international conference on Legal Knowledge and Information Systems (JURIX 2017) (2017) Detailed reference viewed: 224 (51 UL)Reified Input/Output logic: Combining Input/Output logic and Reification to represent norms coming from existing legislationRobaldo, Livio ; in Journal of Logic and Computation (2017) Detailed reference viewed: 303 (21 UL)On the Complexity of Input/Output LogicRobaldo, Livio ; in Journal of Applied Logic (2017) Detailed reference viewed: 144 (4 UL)Towards legal compliance by correlating Standards and Laws with a semi-automated methodologyBartolini, Cesare ; Lenzini, Gabriele ; Robaldo, Livio 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)A Framework to Reason about the Legal Compliance of Security StandardsBartolini, Cesare ; Giurgiu, Andra ; Lenzini, Gabriele et alin 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)Reified Input/Output logic - a position paperRobaldo, Livio ; Sun, Xin in Proceedings of Workshop on Artificial Intelligence for Justice (AI4J), collocated at the 22nd European Conference on Artificial Intelligence (ECAI 2016) (2016) Detailed reference viewed: 83 (11 UL)Textual Inference with Deep Learning Technique; ; Robaldo, Livio et alin Proceedings of the 28th Annual Benelux Conference on Artificial Intelligence (BNAIC2016). (2016) Detailed reference viewed: 150 (8 UL)Eunomos, a legal document and knowledge management system for the Web to provide relevant, reliable and up-to-date information on the Law; ; Humphreys, Llio et alin Artificial Intelligence and Law (2016) Detailed reference viewed: 304 (20 UL)Ali Baba and Thief, Norm Emergence in Games; Robaldo, Livio Presentation (2016) Detailed reference viewed: 74 (4 UL)Norm Creation in Proposition Control GamesSun, Xin ; Robaldo, Livio in Proceedings of the 1st Chinese Conference on Logic and Argumentation (CLAR 2016), Hangzhou, China, April 2-3, 2016. (2016) Detailed reference viewed: 71 (10 UL)
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