MIREL 2017 - Workshop on MIning and REasoning with Legal texts

Connected with the MIREL (MIning and REasoning with Legal texts) project, H2020 Marie Sklodowska-Curie grant agreement No 690974. Website: http://www.mirelproject.eu.

Held in conjunction with ICAIL 2017, London, UK
June 16, 2017

Paper submission deadline: April 20th, 2017 - *** DEADLINE EXTENDED to April 27th, 2017 ***

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 is “MIREL: MIning and REasoning with Legal texts”.

The aim of the MIREL-2017 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, towards these objectives described above.

We invite submissions up to 12 pages plus 3 additional pages for bibliography and appendix, in LNCS format. A selection of the best papers of the workshop will be published at LNAI Springer Series jointly with AICOL follow-up activities.

Authors shall submit their papers electronically via EasyChair before the due date in PDF format: https://easychair.org/conferences/?conf=mirel2017

We welcome submissions related but not limited to the following topics:

  • Language technologies for processing 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

Important Dates

  • Paper submission: 20th April, 2017
  • Notification to authors: 15th May, 2017
  • Camera-ready: 1st June 2017
  • Workshop date: 16th June 2017

Livio Robaldo - University of Luxembourg (Lux)
Grigoris Antoniou - University of Huddersfield (UK)
Serena Villata - INRIA (France)
Luigi Di Caro - University of Turin (Italy)

If you have any enquiries/comments about the workshop or the submission
procedure, please contact Livio Robaldo at: livio.robaldo AT uni.lu

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