Computer Law & Security Review – Elsevier Journal (IF 2.7)
Special Issue Call for Papers “KNOWLEDGE MANAGEMENT FOR LAW” – [PDF version]
Legal Informatics represents a multidisciplinary field that is receiving growing attention in terms of both scientific challenges and real applications. Artificial Intelligence (AI) is one of the main cornerstones of this development, with novel research methods in the Knowledge Modeling (KM) sub-area, also deeply connected with Information Extraction (IE) technologies.
The application of innovative technologies for processing legal documents and AI methods applied to legal issues can support the work of public administrations and private companies in the legal field. Informatics facilitates access to understandability of legal knowledge, including judgments, recommendations, legislation, citizens’ constitutional rights, and soft law. Legal ontologies, for instance, highlight the nature of links between legal norms; the application of specific algorithms supports semi-automatic interpretation of legal provisions and prediction of judicial decisions.
Digital justice and digital law improve the daily work by speeding up the resolution of legal issues, including support for legal compliance and access to complex and extensive legal knowledge. Likewise, the digitalization of law has a socio-political impact by making legal knowledge accessible to a broader audience of citizens, increasing the opportunity to express themselves, and raising awareness of prominent legal issues.
Typical goals and applications include:
i) automatic classification of legal documents,
ii) legal design of ontologies and representation frameworks,
iii) computation of similarity among legal sources of data for clustering or intelligent search mechanisms,
iv) prediction & support in decision-making and for supporting legal interpretation,
v) sectoral and transversal studies such as diachronic legal analyses outlining the evolution of legal concepts and definitions over time,
vi) detection of linguistic phenomena and patterns in legal sources,
vii) multilingual alignments of concepts on domestic and international legal sources,
viii) identification of legal references and network analysis,
ix) analogical reasoning and compliance checking, and so forth.
Full papers due:
20th February 20th March 2023
[Standard review process]
Final notification: 1st October 2023
The Special Issue on KNOWLEDGE MANAGEMENT FOR LAW focuses on the wide-ranging topic of AI, KM and IE methods in legal informatics:
- Automated knowledge extraction from legal text corpora and databases
- Natural language processing for legal documents
- Legal ontologies, visual law, legal design
- Multilingual alignments, retrieval, extraction and analysis of legal sources
- Entity recognition, disambiguation, identification of legal semantic roles
- Link analysis, linked data, and knowledge graphs in the legal domain
- Computational models of argumentation for legal data
- Machine Learning and Deep Learning for legal text
- Information retrieval and multimedia search for legal documents
- Question answering, dialogue and discourse analysis, query understanding
- Legal text summarization and generation
- Ethical or fairness issues and computing in the legal domain
- Applications in legal data and knowledge engineering
Manuscript can be submitted through the journal’s editorial submission system (registration required):
Select VSI:KM4LAW in the Dropdown menu “Select Article Type”.
Please follows the Elseviers’ Guide for Authors
A summary of the main steps can be found in the following document: KM4LAW Instructions for authors
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 in a standard double-blind review process following the review process of the Journal.
The editors will provide their recommendations and feedback to the authors during each round of revision of the submitted papers.
Luigi Di Caro, Univ. of Torino, Italy
Rohan Nanda, Univ. of Maastricht, Netherlands
Emilio Sulis, Univ. of Torino, Italy