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. Often qualified decision in the legal domain require to combine information from business intelligence applications and it is straightforward that the use of agent technology and web intelligence shows great potentials in advancing legal domain. The popularity and application of web-intelligence and agent technology has grown over the recent years, so that it is currently marked by unique and innovative approaches and architectures for solving challenges research opportunities in the legal domain.
The scope of this proposed workshop is to provide a new venue for bringing the typical audience of WI-IAT in the field cross-cutting knowledge and web-based 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 web-based legal intelligence.
Topics of interest include, but are not limited to:
- Automated information extraction from web-based legal databases and text corpora
- Web-based systems engineering for searching, retrieving and managing legal data
- Knowledge graphs and semantic networks for the legal domain
- Legal information agents and multi-agent systems
- Trust models for the legal domain
- 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
- Paper submission deadline: September 25, 2021
- Acceptance notification: October 15, 2021
- Final manuscripts due: October 30, 2021
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
- Andrea Tagarelli, University of Calabria, Italy (firstname.lastname@example.org)
- Ester Zumpano, University of Calabria, Italy (email@example.com)
- Andrea Calí, Birkbeck University of London (firstname.lastname@example.org)
- Sergio Flesca, University of Calabria, Italy (email@example.com)
- Francesco Gullo, Unicredit R&D, Italy (firstname.lastname@example.org)
- Roberto Interdonato, CIRAD, UMR Tetis, Montpellier, France (email@example.com)
- Aida Kamišalić Latifić, University of Maribor, Slovenija (firstname.lastname@example.org)
- Elio Masciari, Università degli Studi di Napoli Federico II, Italy (email@example.com)
- Luigi Pontieri, ICAR- CNR, Italy (firstname.lastname@example.org)
- Gerardo I. Simari, University of Oxford, UK (email@example.com)
- Andrea Simeri, University of Calabria, Italy (firstname.lastname@example.org)
- Domenico Ursino, Università Politecnica delle Marche, Italy (email@example.com)
Papers must be submitted electronically via CyberChair at link indicated on the Workshops webpage of WI-IAT 2021, available at https://www.wi-iat.com/wi-iat2021/Workshops-Special-Sessions.html.
Paper must be formatted in standard ACM Conference Proceedings format (max 8 pages, templates at https://www.acm.org/publications/proceedings-template).
Submitted papers will undergo a peer review process, coordinated by the Program Committee.
Accepted papers will be published in the conference proceedings by ACM and submitted to EI. Selected WI-IAT’21 papers will be further invited for expansion and publication in Web Intelligence journal and other international journals.