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 humanities, linguistics, social sciences, economics, cognitive psychology, and other disciplines. This has been long witnessed by a number of venues for developing and publishing computer-science-related research studies 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. Moreover, recent breakthroughs in data science, machine learning, and cybersecurity, have unveiled a range of new opportunities and solutions for dealing with legal information sources and providing a deeper understanding of laws, legal systems, legal reasoning, and the role and impact of laws in our society.
This Special Issue of the Information Systems Journal invites researchers working in the field cross-cutting information and knowledge-based systems, data science and artificial intelligence, and legal informatics to submit original papers discussing and promoting 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 hidden 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 databases and text corpora, 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
Submission Deadline: October 15, 2020
Peer reviews to authors: March 15, 2021
First round revised manuscripts due: May 15, 2021
Second round reviews to authors: June 30, 2021
Second round revised manuscripts due: July 30, 2021
Final notifications from editors: August 30, 2021
Final accepted manuscripts due: September 15, 2021
Andrea Tagarelli, University of Calabria, Italy (Lead guest editor)
Ester Zumpano, University of Calabria, Italy
David Anastasiu , Santa Clara University, USA
Andrea Calí, Birkbeck University – United Kingdom
Gottfried Vossen, University of Münster, Germany
Contributing papers must not be published or currently under review for publication elsewhere; however, they could be extended versions of conference papers provided that the submitted manuscript contains a significant amount of novel contributions as well as differences with respect to the earlier conference paper.
All manuscripts for the Special Issue will be peer-reviewed by a minimum number of 3 reviewers, following the review process of the IS journal, and will be submitted and handled through the Elsevier’s Editorial Manager (EM). The editors will provide their recommendations and feedback to the authors during each round of revision of the submitted papers.
Manuscripts should follow the Guide for authors and can be submitted via the following link: https://www.editorialmanager.com/infosys.
When submitting your manuscript, you should select the article type MML4LegalData. Please submit your manuscript before the submission deadline.
Specific instructions to authors in Information Systems can be found on the web in the Guide for authors. Authors are invited to observe the journal instructions while preparing their manuscripts. The manuscripts should be written in good English.