[DL] 2nd CFP MIREL 2018, DL July 2, 2018

Leon VAN DER TORRE leon.vandertorre at uni.lu
Tue May 29 11:23:08 CEST 2018

Call for Papers

MIREL workshop

MIning and REasoning with Legal texts

In conjunction with LuxLogAI

September 17th<x-apple-data-detectors://0> - Luxembourg


Submission deadline: July 2, 2018<x-apple-data-detectors://2>

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



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.


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.


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


We invite submissions up to 12 pages plus 3 additional pages for

bibliography and appendix, in LNCS format


Authors shall submit their papers electronically via EasyChair before

the due date in PDF format:


The proceedings will appear in College Publications' IfCoLoG Journal

of Logics and their Applications.



Laura Alonso Alemany, Universidad Nacional de Córdoba (Argentina)

Guillermo Simari, Universidad Nacional del Sur (Argentina)

Leon van der Torre, University of Luxembourg (Luxembourg)


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



For questions contact the organizers (lauraalonsoalemany at gmail.com<mailto:lauraalonsoalemany at gmail.com>,

grsimari at gmail.com<mailto:grsimari at gmail.com>, leon.vandertorre at uni.lu<mailto:leon.vandertorre at uni.lu>).

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