CFP: KM4LAW-Knowledge Management and Process Mining fo Law Workshop @FOIS 2023

[Emilio Sulis]

Dear all,

we announce the second edition of the KNOWLEDGE MANAGEMENT AND PROCESS MINING FOR LAW - KM4Law Workshop that will be held in Sherbrooke (Québec, Canada) on July 17-20, co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023).

Workshop website: https://km4law.di.unito.it/ 

Artificial Intelligence (AI), Knowledge Modeling (KM) and Information Extraction (IE) methods are increasingly important for legal informatics. A recent research line is engaged with the analysis of legal event logs through Process Mining (PM) techniques, i.e. for regulatory compliance checking, mining legal event logs for process discovery, and applying predictive process monitoring on legal cases.

There is a rising volume of research works on the limits and unexplored opportunities offered by AI for the representation and extraction of knowledge in the legal domain. Typical research objectives may include classification of legal sources, legal design and legal ontologies, similarity among norms and clustering, process mining for legal compliance, mining of legal event logs for process discovery, prediction and support in decision-making processes, semi-automatic legal interpretation, mapping of evolving legal concepts and definitions over time, information extraction and classification, detection of linguistic phenomena and patterns in legal sources, multilingual alignment of concepts of domestic and international legal sources, extraction and analysis of legal references and network analysis, analogical reasoning and compliance checking.

The Knowledge Management and process mining for Law (KM4LAW) workshop intends to be a forum to address the current and emerging challenges of legal informatics from a broad perspective.

TOPICS OF INTEREST
We welcome contributions related to digital justice and digital law in general, as well as considering modelling and conceptualization features. Potential topics are:

• Legal ontologies, visual law, legal design, and correlated themes
• (Multilingual) Thesauri, vocabularies, and taxonomies in the legal area
• Entity Recognition and Disambiguation
• Training and Using Embeddings for legal text
• Computational models of argumentation for legal data
• Knowledge Base Population
• Question Answering, Dialogue and Discourse Analysis, Query Understanding
• Link Analysis, Relation and Event Extraction
• Combining Legal Text with Structured Data
• Legal Text Summarization and Generation
• Emerging applications in legal data & knowledge engineering
• Process mining for legal compliance
• Mining legal event logs for process discovery
• Predictive process monitoring on legal cases
• Natural language processing techniques and systems for legal documents
• Identification of legal semantic roles and extraction of named entities
• Automated knowledge extraction from legal text corpora
• Experimental results using and adapting NLP methods for legal data
• Information retrieval and multimedia search for legal documents
• Multilingual alignments, retrieval, extraction and analysis of legal sources
• Linked data and knowledge graphs in the legal domain
• Classification or clustering of law
• Domain-Specific Visual Modeling Language (DSVML) and law

SUBMISSION INSTRUCTIONS
Authors are invited to submit original, previously unpublished research papers. Papers should be written in English. All papers must be converted to PDF prior to electronic submission.
We accept two kinds of contributions:
- short paper [ between 5 to 9 pages long ]
- regular paper [ between 10 to 14 pages long ]

At least one author of each accepted paper must register and participate in the workshop.

IMPORTANT DATES
Deadline to submit Papers to Workshops: May 20, 2023
Workshop at FOIS 2023 days: TBD within FOIS 2023 (July 17-20, 2023)

WORKSHOP ORGANIZERS (in alphabetical order)
Davide Audrito, University of Bologna (Italy)
Luigi Di Caro, University of Turin (Italy)
Francesca Grasso, University of Turin (Italy)
Roberto Nai, University of Turin (Italy)
Emilio Sulis, University of Turin (Italy)

--

Emilio Sulis - PhD

Computer Science Department 
Università di Torino
C.so Svizzera 185
10149 Torino, Italy
http://www.di.unito.it/~sulis