[AISWorld] [CFP] Knowledge Management and Process Mining for Law Workshop - KM4LAW at FOIS 2024

[Emilio Sulis]

Dear all,

we announce the third edition of the KNOWLEDGE MANAGEMENT AND PROCESS
MINING FOR LAW - KM4LAW Workshop that will be held in Enschede,
Netherlands, co-located with the 14th International Conference on Formal
Ontology in Information Systems (FOIS 2024)

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

*WORKSHOP AIM AND SCOPE*
The academic interest in legal informatics has been increasing over the
last decades. 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 and 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.

A recent research line is engaged with transformers and Large Language
Models (LLMs) techniques applied in the legal domain. These models are
becoming integral to legal work, as they have demonstrated effectiveness in
several tasks, encompassing manifold research lines.  These include, but
are not limited to, the design and evaluation of LLM-based systems and
applications in legal data processing; the use of LLMs in conventional
legal text processing tasks such as summarization, question-answering,
classification, and judgment prediction; issues related to LLMs-enabled
decision making; and the application of LLMs in the analysis of
multilingual legal data.

Moreover, organisations' information systems collect information related to
notices and other legal documents, and are increasingly used for automated
analysis with discovery and flow compliance checking, process mining with
structured and unstructured data.
The analysis of legal event logs can be developed through the adoption of
Process Mining (PM) techniques, which allow the discovery of procedures
from real data, to verify the regulatory compliance of procedures, for
application monitoring and prediction techniques about the events of a
legal case.

Digital justice and digital law improve the daily work of public
administrations, judges and law firms by speeding up the resolution of
legal issues, including support for legal compliance and access to complex
and extensive legal knowledge.

The *Knowledge Management and process mining for Law (KM4LAW) *workshop
intends to be a forum to focus on legal informatics from a broad
perspective. This workshop focuses on the wide-ranging topic of AI, KM, IE,
and PM methods in the legal informatics and legal-linguistics fields. AI &
Law involves a variety of sub-domains, including ontologies, argumentation,
legal design, legal prediction, network analysis, and neural networks. The
challenging task of automatically extracting knowledge in textual documents
has traditionally been addressed by NLP techniques. Given the complexity
and vagueness of legal sources, extracted knowledge can be formalised into
ontological models for many purposes, including access to rights and
understandability of requirements in administrative procedures.

This workshop is intended to be a forum bringing together all these
sub-disciplines. FOIS is the perfect venue for this forum because all these
subjects are involved in this conference.


*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:

   - Natural language processing techniques and systems for legal documents
   - Identification of legal semantic roles and extraction of named entities
   - Application, design, evaluation and impact of Large Language Models
   (LLMs) in the legal domain
   - 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
   - Process mining for legal compliance
   - Mining legal event logs for process discovery
   - Predictive process monitoring on legal cases
   - 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
   - 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


*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.
Papers' template CEUR-ART, 1-column style (please use Latex):
-Instructions: https://ceur-ws.org/HOWTOSUBMIT.html
-Overleaf: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-workshop-proceedings-ceur-ws-dot-org/wqyfdgftmcfw


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.
Submissions should be made via Easychair through the following submission
page:
https://easychair.org/conferences/?conf=fois2024   [ select “KM4Law
workshop” track ]

*IMPORTANT DATES*
Deadline to submit Papers to Workshops: *April 17, 2024*
Acceptance of Papers for Workshops: May 15, 2024
Provide camera ready versions: June 30, 2024
Workshop at FOIS 2024 days: 15-19 July 2024

*WORKSHOP ORGANIZERS* (in alphabetical order)
Davide Audrito, University of Bologna (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 Torinohttp://www.di.unito.it/~sulis