[en] 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.
Disciplines :
Computer science
Author, co-author :
Rossi, Arianna ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) ; University of Bologna > CIRSFID
Palmirani, Monica; University of Bologna > CIRSFID
External co-authors :
yes
Language :
English
Title :
From Words to Images Through Legal Visualization
Publication date :
November 2018
Main work title :
AI Approaches to the Complexity of Legal Systems: AICOL International Workshops 2015–2017: AICOL-VI@ JURIX 2015, AICOL-VII@ EKAW 2016, AICOL-VIII@ JURIX 2016, AICOL-IX@ ICAIL 2017, and AICOL-X@ JURIX 2017, Revised Selected Papers
Editor :
Pagallo, Ugo
Palmirani, Monica
Casanovas, Pompeu
Sartor, Giovanni
Villata, Serena
Publisher :
Springer Cham
ISBN/EAN :
978-3-030-00177-3
Pages :
72-85
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences Law / European Law
Name of the research project :
R-AGR-0026 - LAST-JD - part UL (20130901-20201231) - VAN DER TORRE Leon
