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From Words to Images Through Legal Visualization

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AI Approaches to the Complexity of Legal Systems (AICOL 2015, AICOL 2016, AICOL 2016, AICOL 2017, AICOL 2017)

Abstract

One of the common characteristics of legal documents is the absolute preponderance of text and their specific domain language, whose complexity can result in impenetrability for those that have no legal expertise. In some experiments, visual communication has been introduced in legal documents to make their meaning clearer and more intelligible, whilst visualizations have also been automatically generated from semantically-enriched legal data. As part of an ongoing research that aims to create user-friendly privacy terms by integrating graphical elements and Semantic Web technologies, the process of creation and interpretation of visual legal concepts will be discussed. The analysis of current approaches to this subject represents the point of departure to propose an empirical methodology that is inspired by interaction and human-centered design practices.

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Notes

  1. 1.

    http://lodpiemonte.cirsfid.unibo.it.

  2. 2.

    http://code4italy.cirsfid.unibo.it.

  3. 3.

    A comprehensive approach to communication theories goes well beyond the scope of this paper.

  4. 4.

    Indeed, this tension became visible during a participatory workshop that we organized for the generation of privacy icons [21]. “Data” was initially represented as a cylinder, which is part of a shared visual vocabulary in computer science. It was, however, not understandable by those without technical background, thus it was transformed into the less specialist, but more widespread representation of a file folder.

  5. 5.

    https://www.memrise.com.

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Rossi, A., Palmirani, M. (2018). From Words to Images Through Legal Visualization. In: Pagallo, U., Palmirani, M., Casanovas, P., Sartor, G., Villata, S. (eds) AI Approaches to the Complexity of Legal Systems. AICOL AICOL AICOL AICOL AICOL 2015 2016 2016 2017 2017. Lecture Notes in Computer Science(), vol 10791. Springer, Cham. https://doi.org/10.1007/978-3-030-00178-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-00178-0_5

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