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
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
Please visit the submission link https://easychair.org/conferences/?conf=caise2020
and select the Track “CAiSE for Legal Documents“.