Goals and Topics
Legal domain is a challenging focus of attention for scholars in computer science and engineering related fields as it lends itself to a unique blend of research opportunities at convergence not only with law and jurisprudence, but also linguistics, economics, cognitive psychology, sociology, and other disciplines. This has been long witnessed by a number of venues for developing and publishing studies of artificial intelligence and information systems applied to the legal domain, for which the volume of data of interest is rapidly growing, also thanks to the support of Internet and online media platforms, and of the recent breakthroughs in data science, machine learning and related fields.
Nonetheless, we point out that little attention has been devoted to the legal domain from a more-focused perspective of data & knowledge engineering. Therefore, we believe that our workshop can represent a novel venue of discussion within the context of the CAiSE conference. As a matter of fact, in the last years there has been no workshop or co-located event at CAiSE having themes similar to the one we propose with this workshop.
The goal of this proposed workshop is to provide a new venue for bringing the typical audience of CAiSE in the field cross-cutting data & knowledge systems engineering and legal informatics to discuss and promote ideas and practices about advanced data management and analytics technologies for the legal domain. This would help legal professionals handle a variety of critical cases, which may benefit from getting easier access to law data, gaining insights into knowledge patterns discovered in legal data, argumenting and supporting legal decision-making.
In this regard, we solicit theoretical as well as application-oriented research studies on relevant topics related to the processing, management and analysis of legal documents, covering models, methodologies, algorithms, evaluation benchmarks and tools for the development and application of legal information systems and knowledge engineering.
Topics of interest include, but are not limited to:
- Automated information extraction from legal databases and text corpora
- Web-based systems engineering for searching, retrieving and managing legal data
- Legal knowledge representation and reasoning models and methods
- Computational models of argumentation for legal data
- Natural language processing techniques and systems for legal documents
- Machine learning, deep learning, and reinforcement learning for legal data
- Semantic computing for legal data
- Big data analytics for legal data
- Computational models and systems handling ethical and fairness issues in the legal domain
- Cybersecurity in the legal domain
- Emerging applications in legal data & knowledge engineering
- Paper submission deadline: March 15, 2020
- Acceptance notification: April 6, 2020
- Final manuscripts due: April 9, 2020
- Workshop day: June 9, 2020
Andrea TAGARELLI, Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, 87036 Rende (CS), Italy
Ester ZUMPANO, Dept. Computer Engineering, Modeling, Electronics, and Systems Engineering (DIMES), University of Calabria, 87036 Rende (CS), Italy
Aida Kamišalić Latifić, Faculty of Electrical Engineering and Computer Science
University of Maribor, Slovenija
Andrea Calí, Dept. of Computer Science and Information Systems
Birkbeck University of London
- Andrea Calí, Birkbeck University of London (email@example.com)
- Sergio Flesca, University of Calabria, Italy (firstname.lastname@example.org)
- Francesco Gullo, Unicredit R&D, Italy (email@example.com)
- Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France (firstname.lastname@example.org)
- Aida Kamišalić Latifić, University of Maribor, Slovenija (email@example.com)
- Elio Masciari, Università degli Studi di Napoli Federico II, Italy (firstname.lastname@example.org)
- Luigi Pontieri, ICAR- CNR, Italy (email@example.com)
- Gerardo I. Simari, University of Oxford, UK (firstname.lastname@example.org)
- Andrea Tagarelli, University of Calabria, Italy (email@example.com)
- Domenico Ursino, Università Politecnica delle Marche, Italy (firstname.lastname@example.org)
- Ester Zumpano, University of Calabria, Italy (email@example.com)
Please visit the submission link https://easychair.org/conferences/?conf=caise2020
and select the Track “CAiSE for Legal Documents“.
Regular papers must not exceed 12 pages. Some of the contributions might be accepted as short papers (6 pages) and they will appear in a designated section of the proceedings.
Accepted papers will be submitted for indexation by: SCOPUS, Thomson Reuters, DBLP, EI, Semantic Scholar and Google Scholar.
Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper.
Special Issue (News)
We will organize a Special Issue with a highly-relevant, peer-reviewed international journal in the fields of interest of the workshop.
Extended versions of accepted papers will be invited for submission to the Special Issues.
We are glad to announce that the EiCs of the prestigious Information Systems Journal, Elsevier, have accepted our proposal of Special Issue titled Managing, Mining and Learning in the Legal Data Domain. Please visit the dedicated webpage.
Please also see the Conference Program at http://caise20.imag.fr/CAISE_2020_Program.pdf
11:30 – 11:35 Opening
11:35 – 11:45 Jukka Ruohonen and Kalle Hjerppe: Predicting the Amount of GDPR Fines [SLIDES]
11:45 – 11:55 Silvana Castano, Mattia Falduti, Alfio Ferrara and Stefano Montanelli: The LATO Knowledge Model for Automated Knowledge Extraction and Enrichment from Court Decisions Corpora [SLIDES]
11:55 – 12:20 (Invited Speaker) Floris Bex: A Decision Support System for Handling Traffic Fine Cases at the Dutch Court [SLIDES]
12:20 – 12:35 Emilio Sulis, Llio Humphreys, Fabiana Vernero, Ilaria Angela Amantea, Luigi Di Caro, Davide Audrito and Stefano Montaldo: Exploring network analysis in a corpora-based approach to legal texts: a case study [SLIDES]
12:35 – 12:45 Rinalds Vīksna, Mārīte Kirikova and Daiga Kiopa: Exploring the use of Topic Analysis in Latvian Legal Documents [SLIDES]
12:45 – 12:55 José Palazzo Moreira de Oliveira and Rhuan Paulo Lopes Barros: Programming the nationality identity in the Federal Constitution of Brazil [SLIDES]
12:55 – 13:00 Closing