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Architecting an innovative big open legal data analytics, search and retrieval platform

Published:29 October 2020Publication History

ABSTRACT

One of the main objectives of the paper is to present a big open legal data (BOLD) platform that will enable easy and advanced access to open legal information across the European Union. We envision facilitating public access for all types of users to open legal data accessed and served via a Legal Web platform in a customizable, structured, intuitive and easy-to-handle way. The user-centric suite of services to be offered include: i) research through legal corpora, analyzing the alignment of national legislation with EU legislation, ii) comparing national laws which target the same life events, iii) analyzing the references to European legislation by national laws, iv) analyzing related laws within the same Member State, v) timeline analysis for all legal acts, vi) visualization of the progress and current status of a specific national or European piece of legislation and vii) sentiment analysis towards new legislation. To implement these, the Manylaws platform builds upon data analytics, text mining, semantic analysis and interactive visualization approaches, for multilingual resources, that will allow users to pose advanced queries, upon which the system will semantically correlate them with annotated resources, to allow the user to retrieve relevant and detailed results, visualized in intuitive ways, and thus allowing better understanding of legal information or building innovative data-centric services. The paper thus describes the novel ManyLaws platform architecture and design specification that will drive the implementation and operation of the ManyLaws portal service infrastructure. The ManyLaws architecture and design specification have been devised following co-design paradigms with legal and parliamentary stakeholders, and software engineering practices for elaboration of its components and their connectors.

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    • Published in

      cover image ACM Other conferences
      ICEGOV '20: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance
      September 2020
      880 pages
      ISBN:9781450376747
      DOI:10.1145/3428502

      Copyright © 2020 ACM

      © 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 29 October 2020

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      • Refereed limited

      Acceptance Rates

      ICEGOV '20 Paper Acceptance Rate79of209submissions,38%Overall Acceptance Rate350of865submissions,40%

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