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Enriching Legal Knowledge Through Intelligent Information Retrieval Techniques: A Review

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Progress in Artificial Intelligence (EPIA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13566))

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Abstract

This work aims to systematize the knowledge on emerging Intelligent Information Retrieval (IIR) practices in scenarios whose context is similar to the field of tax law. It is a part of a project that covers the emerging techniques of IIR and its applicability to the tax law domain. Furthermore, it presents an overview of different approaches for representing legal data and exposes the challenging task of providing quality insights to support decision-making in a dedicated legal environment. It also offers an overview of the related background and prior research referring to the techniques for information retrieval in legal documents, establishing the current state-of-the-art, and identifying its main drawbacks. A summary of the most appropriate technologies and research approaches of the technologies that apply artificial intelligence technology to help legal tasks is also depicted.

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Notes

  1. 1.

    http://www.legalxml.org/.

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Acknowledgement

This work was supported by the Northern Regional Operational Program, Portugal 2020 and European Union, through European Regional Development Fund (ERDF) in the scope of project number 047223 - 17/SI/2019.

Author information

Authors and Affiliations

  1. CIICESI/ESTG, Polytechnic Institute of Porto, Felgueiras, Portugal

    Marco Gomes

  2. ALGORITMI Centre, University of Minho, Guimaraes, Portugal

    Marco Gomes & Bruno Oliveira

  3. INESC TEC, Porto, Portugal

    Cristóvão Sousa

Authors
  1. Marco Gomes
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  2. Bruno Oliveira
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  3. Cristóvão Sousa
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Corresponding author

Correspondence to Marco Gomes .

Editor information

Editors and Affiliations

  1. ISEP/GECAD, Polytechnic Institute of Porto, Porto, Portugal

    Goreti Marreiros

  2. IST/INESC-ID, University of Lisbon, Lisbon, Portugal

    Bruno Martins

  3. IST/INESC-ID, University of Lisbon, Porto Salvo, Portugal

    Ana Paiva

  4. CISUC, University of Coimbra, Coimbra, Portugal

    Bernardete Ribeiro

  5. IST/INESC-ID, University of Lisbon, Porto Salvo, Portugal

    Alberto Sardinha

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Gomes, M., Oliveira, B., Sousa, C. (2022). Enriching Legal Knowledge Through Intelligent Information Retrieval Techniques: A Review. In: Marreiros, G., Martins, B., Paiva, A., Ribeiro, B., Sardinha, A. (eds) Progress in Artificial Intelligence. EPIA 2022. Lecture Notes in Computer Science(), vol 13566. Springer, Cham. https://doi.org/10.1007/978-3-031-16474-3_11

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  • DOI: https://doi.org/10.1007/978-3-031-16474-3_11

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  • Online ISBN: 978-3-031-16474-3

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