Legal Knowledge and Information Systems - JURIX 2017: The Thirtieth Annual Conference

The proceedings of the 30th International Conference on Legal Knowledge and Information Systems – JURIX 2017. For three decades, the JURIX conferences have been held under the auspices of the Dutch Foundation for Legal Knowledge Based Systems (www.jurix.nl). In the time, it has become a European conference in terms of the diverse venues throughout Europe and the nationalities of participants

Assigning Creative Commons Licenses to Research Metadata: Issues and Cases

This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.Comment: 9 pages. Submitted to the 29th International Conference on Legal Knowledge and Information Systems (JURIX 2016), Nice (France) 14-16 December 201

Human-centred explanation of rule-based decision-making systems in the legal domain

We propose a human-centred explanation method for rule-based automated decision-making systems in the legal domain. Firstly, we establish a conceptual framework for developing explanation methods, representing its key internal components (content, communication and adaptation) and external dependencies (decision-making system, human recipient and domain). Secondly, we propose an explanation method that uses a graph database to enable question-driven explanations and multimedia display. This way, we can tailor the explanation to the user. Finally, we show how our conceptual framework is applicable to a real-world scenario at the Dutch Tax and Customs Administration and implement our explanation method for this scenario.Comment: This is the full version of a demo at the 36th International Conference on Legal Knowledge and Information Systems (JURIX'23

Legal compliance by design (LCbD) and through design (LCtD) : preliminary survey

1st Workshop on Technologies for Regulatory Compliance co-located with the 30th International Conference on Legal Knowledge and Information Systems (JURIX 2017). The purpose of this paper is twofold: (i) carrying out a preliminary survey of the literature and research projects on Compliance by Design (CbD); and (ii) clarifying the double process of (a) extending business managing techniques to other regulatory fields, and (b) converging trends in legal theory, legal technology and Artificial Intelligence. The paper highlights the connections and differences we found across different domains and proposals. We distinguish three different policydriven types of CbD: (i) business, (ii) regulatory, (iii) and legal. The recent deployment of ethical views, and the implementation of general principles of privacy and data protection lead to the conclusion that, in order to appropriately define legal compliance, Compliance through Design (CtD) should be differentiated from CbD

Business requirements for legal knowledge graph : the LYNX platform

Proceedings of the 2nd Workshop on Technologies for Regulatory Compliance co-located with the 31st International Conference on Legal Knowledge and Information Systems (JURIX 2018). Groningen, The Netherlands, December 12, 2018.European small and medium-size enterprises (SMEs) and large corporations face multiple constraints to engage in trade abroad and to localize their products and services to other countries, mainly as a consequence of legal and language barriers. This is one of the main consequences of the multiple differences across Europe, which is fragmented into legal silos and into more than 20 linguistic islands. LYNX H2020 project will provide more effective ways of accessing huge amount of digital regulatory compliance documents, including legislation, case law, standards, industry norms and best practices. In particular, the LYNX project envisages an ecosystem of smart cloud services to better manage compliance documents, based on a Legal Knowledge Graph (LKG) which integrates and links heterogeneous compliance data sources. This ecosystem will enable smart search, smart assistance and smart referencing of case law, as well as Artificial Intelligence technologies and machine translation of regulatory compliance documents. An initial step in the development of the LYNX platform is the collection of business requirements from end-users and relevant stakeholders. Therefore, this work introduces the techniques used for the gathering of business requirements from endusers and stakeholders and a list of prioritized business requirements collected through qualitative and quantitative techniques