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Communication Dans Un Congrès Année : 2016

Towards a Methodology for Formalizing Legal Texts in LegalRuleML

Adeline Nazarenko
  • Fonction : Auteur
  • PersonId : 830553
François Lévy
Adam Wyner
  • Fonction : Auteur
  • PersonId : 988054

Résumé

It is well recognised that it is difficult to make the semantic content of legal texts machine readable. We propose a systematic methodology to begin to render a sample legal text into LegalRuleML, which is a proposed markup for legal rules. We propose three levels - coarse, medium, and fine-grained analyses - each of which is compatible with LegalRuleML and which facilitate development from text to formal LegalRuleML. This paper provides guidelines for a coarse-grained analysis, highlighting some of the challenges to address even at this level.
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Dates et versions

hal-01495835 , version 1 (26-03-2017)

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  • HAL Id : hal-01495835 , version 1

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Adeline Nazarenko, François Lévy, Adam Wyner. Towards a Methodology for Formalizing Legal Texts in LegalRuleML. 29th International Conference on Legal Knowledge and Information Systems (JURIX), Dec 2016, Sophia-Antipolis, France. ⟨hal-01495835⟩
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