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A computational approach for the experimental study of EU case law: analysis and implementation

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A Correction to this article was published on 23 November 2017

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Abstract

In recent years, the encounter between network analysis (NA) and Law has issued new challenges both on a scientific and application level. If, on the one hand, it is fostering new computational-inspired approaches to visualize, retrieve, manipulate and analyze legal information, on the other hand, it is inspiring the creation of innovative tools allowing legal scholars without technical skills to start dealing with NA and visual analytics on their own. This paper presents an ongoing research project aiming to explore how approaches and techniques at the boundaries between Network analysis, Legal informatics and Visualization can help shedding new light into legal matters. The attention is focused, on EuCaseNet, an online toolkit allowing legal scholars to apply NA and visual analytics techniques to the entire corpus of EU case law.

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  • 23 November 2017

    The author would like to correct the errors in the publication of the original article. The corrected details are given below for your reading.

Notes

  1. http://www.ravellaw.com.

  2. http://www.lexmex.fr/.

  3. EUCaseNet prototype: http://goo.gl/HcQv5z.

  4. http://sigmajs.org/.

  5. http://tomcat.apache.org/.

  6. http://gephi.org.

  7. http://neo4j.com.

  8. http://orientdb.com.

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Acknowledgments

This paper stems from a talk given at the ARS’15 International Workshop “Large Networks And Big Data: New Methodological Challenges” held in Capri on April 29–30, 2015. Authors would like to thank Sebastiano Faro for the useful contribution, suggestions given about the topic discussed in this paper.

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Authors and Affiliations

  1. ISFOL, Rome, Italy

    Nicola Lettieri

  2. Computer Science Department, University of Salerno, Salerno, Italy

    Antonio Altamura, Armando Faggiano & Delfina Malandrino

Authors
  1. Nicola Lettieri
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  2. Antonio Altamura
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  3. Armando Faggiano
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  4. Delfina Malandrino
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Corresponding author

Correspondence to Nicola Lettieri.

Additional information

The authorship of this work can be attributed as follows: Nicola Lettieri: concept and functional design of EUCaseNet; Legal, Computational Social Science and Legal Informatics profile. Delfina Malandrino, Antonio Altamura and Armando Faggiano: system design, Computer Science profiles. The case study is the result of a joint effort of the authors.

A correction to this article is available online at https://doi.org/10.1007/s13278-017-0477-7.

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Lettieri, N., Altamura, A., Faggiano, A. et al. A computational approach for the experimental study of EU case law: analysis and implementation. Soc. Netw. Anal. Min. 6, 56 (2016). https://doi.org/10.1007/s13278-016-0365-6

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