Objective
The management of large repositories of norms, and the semantic access and reasoning to these norms are key challenges in Legal Informatics. The MIREL project will create an international and inter-sectorial network to define a formal framework and to develop tools for MIning and REasoning with Legal texts, with the aim of translating these legal texts into formal representations that can be used for querying norms, compliance checking, and decision support. The development of the MIREL framework and tools will be guided by the needs of three industrial partners, and validated by industrial case studies. MIREL promotes mobility and staff exchange between SMEs to academies in order to create an inter-continental interdisciplinary consortium in Law and Artificial Intelligence areas including Natural Language Processing, Computational Ontologies, Argumentation, and Logic & Reasoning.
MIREL addresses 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. It bridges the gap between the community working on legal ontologies and NLP parsers and the community working on reasoning methods and formal logic. Moreover, it is the first project of its kind to involve industrial partners in the future development of innovative products and services in legal reasoning and their deployment in the market.
The European MIREL partners are key players in the communities of Deontic, AI & Law, and the Semantic Web, communities that have traditionally been strong in Europe. The MIREL consortium brings these scientists together with researchers with expertise traditionally lacking in Europe, such as norm and argument mining (Argentina, Japan and China), description logic for reasoning about legal ontologies (South Africa), natural language semantics of deontic modals (US), and the complexity analysis of regulatory compliance (Australia).
Fields of science
- natural sciencescomputer and information sciencesknowledge engineeringontology
- natural sciencescomputer and information sciencescomputer securitydata protection
- natural sciencescomputer and information sciencesdata sciencenatural language processing
- natural sciencescomputer and information sciencesinternetsemantic web
- social scienceslaw
Programme(s)
Coordinator
4365 ESCH-SUR-ALZETTE
Luxembourg
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Participants (7)
10124 Torino
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40126 Bologna
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HD1 3DH Huddersfield
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78153 Le Chesnay Cedex
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1000 SOFIA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
10098 Rivoli
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
87036 RENDE CS
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (8)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1900 La Plata
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8000 Bahia Blanca
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
5000 Cordoba
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
7701 Rondebosch
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
94305 2004 Stanford
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
NSW1430 EVELEIGH
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
190-8518 Tokyo
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
310027 HANGZHOU
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