Logic List Mailing Archive

MIREL 2018: Mining & Reasoning with Legal texts

17 Sep 2018
Luxembourg, Luxembourg

Call for Papers

MIREL workshop
MIning and REasoning with Legal texts
In conjunction with LuxLogAI
September 17th, Luxembourg
https://sites.google.com/view/mirelworkshop2018/

Submission deadline: July 2, 2018

The aim of MIREL-2018 workshop is to bridge the gap between the community 
working on legal ontologies and NLP parsers and the community working on 
reasoning methods and formal logic, in line with the objectives of the 
MIREL (MIning and REasoning with Legal texts) project. The workshop aims 
at fostering the scientific discussion between approaches based on 
language technologies applied to the legal domain (representing legal 
knowledge) and those based on legal reasoning (using the legal knowledge 
to build specialized services and applications).

Background

Legal scholars and practitioners are feeling increasingly overwhelmed with 
the expanding set of legislation and case law available these days, which 
is assuming more and more of an international character. For example, 
European legislation is estimated to be 170,000 pages long, of which over 
100,000 pages have been produced in the last ten years. Furthermore, 
legislation is available in unstructured formats, which makes it difficult 
for users to cut through the information overload. As the law gets more 
complex, conflicting, and ever changing, more advanced methodologies are 
required for analyzing, representing and reasoning on legal knowledge.

The management of large repositories of norms, and the semantic access and 
reasoning to these norms are key challenges in Legal Informatics, which is 
experiencing growth in activity, also at the industrial level. 
Specifically, it is necessary to address both conceptual challenges, such 
as the role of legal interpretation in mining and reasoning, and 
computational challenges, such as the handling of big legal data, and the 
complexity of regulatory compliance.

Legal domain has always been attractive to language and semantic 
technology because of its importance for the society with respect to 
globalization and common markets as well as for its challenges for 
formalization and specific language use. For this reason, several research 
projects in the legal domain have been recently funded by the EU and 
similar institutions, among which ``MIREL: MIning and REasoning with Legal 
texts'' (http://www.mirelproject.eu/).

The past two editions of the present workshop were held in Nice, in 
conjunction with the Jurix 2016 conference, and in London, in conjunction 
with the ICAIL 2017 conference.

Objective

The development of NLP techniques and semantic technologies for automatic 
analysis and indexing of big data freely available on the web has created 
opportunities for building new approaches to improve the efficiency, 
comprehensibility, and consistency of legal systems. Semantic analysis 
aims at relating syntactic elements ? which could be phrases, clauses, 
sentences, paragraphs, and whole documents - to their meanings in a given 
domain, including meanings specific to legal information. On the one hand, 
in recent years the EU has delivered huge amounts of resources on EU law 
in many languages (such as, EuroParl, JRC, etc.). On the other hand, the 
matured NLP and Semantic Web technology provides a good inventory: for 
formalizing the law data in the form of domain ontologies; for automating 
the process of relevant knowledge extraction from legal documents; and for 
representing it in form of Linked Data in RDF. This will support legal 
reasoning tasks such as better search possibilities, compliance checking 
and decision support, as well as a better presentation of the legal 
information to professional and non-professional stakeholders.

Topics

Language technologies for processing of legal texts

Legal reasoning (searching, compliance checking, decision support)

Ontology design patterns for the legal domain

Ontological modeling of legal data

Core and domain ontologies for the legal domain

Legal knowledge on the Web

Legal Linked Open Data

Machine learning and data mining for legal applications

Adaptation of language processing modules to legal domain

Large-scale normative reasoning

Computational methods for legal reasoning

Extraction of legal Named entities - legal citations, etc.

Legal search engines - requirements, implementations, etc.

Semantic annotations for legal texts

Formal analysis of normative concepts and normative systems

Formal analysis of the semantics/pragmatics of deontic and normative 
expressions in natural language

Expressive vs. lightweight representations of legal knowledge

Legislation and case law corpora in Linked Open Data

Applications in the legal domain


Submission

We invite submissions up to 12 pages plus 3 additional pages for 
bibliography and appendix, in LNCS format 
(http://www.springer.com/comp/lncs/authors.html).

Authors shall submit their papers electronically via EasyChair before the 
due date in PDF format:

https://easychair.org/conferences/?conf=mirel2018

The proceedings will appear in College Publications' IfCoLoG Journal of 
Logics and their Applications.

http://collegepublications.co.uk/ifcolog/

Organizers

Laura Alonso Alemany, Universidad Nacional de Córdoba (Argentina)
Guillermo Simari, Universidad Nacional del Sur (Argentina)
Leon van der Torre, University of Luxembourg (Luxembourg)

LuxLogAI

The MIREL 2018 workshop is the start of the Luxembourg Logic for AI 
Summit, which takes place on 17-26 September 
2018<x-apple-data-detectors://10> (https://luxlogai.uni.lu/). The 
Luxembourg Logic for AI Summit (LuxLogAI 2018) brings together RuleML+RR 
2018, DecisionCAMP 2018, the Reasoning Web Summer School (RW 2018), the 
Global Conference on Artificial Intelligence (GCAI 2018), the MIREL 2018 
workshop, and the Deduktionstreffen 2018.  With its special focus theme on 
"methods and tools for responsible AI", a core objective of LuxLogAI is to 
present the latest developments and progress made on the crucial question 
of how to make AI more transparent, responsible and accountable.

Enquiries

For questions contact the organizers 
(lauraalonsoalemany@gmail.com<mailto:lauraalonsoalemany@gmail.com>, 
grsimari@gmail.com<mailto:grsimari@gmail.com>, 
leon.vandertorre@uni.lu<mailto:leon.vandertorre@uni.lu>).

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