An Approach to Legal Rules Modelling and Automatic Learning

  • Authors:
  • Enrico Francesconi

  • Affiliations:
  • ITTIG-CNR, via de' Barucci 20, Florence (Italy)

  • Venue:
  • Proceedings of the 2009 conference on Legal Knowledge and Information Systems: JURIX 2009: The Twenty-Second Annual Conference
  • Year:
  • 2009

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Abstract

In this paper an approach to legal rules modelling based on a semantic model for legislation and oriented to knowledge reusability and sharing is presented. An automatic methodology able to support rules learning is proposed as well: it is based on techniques of knowledge extraction from legislative texts. This combined approach is aimed at giving a contribution to bridge the gap between consensus and authoritativeness in legal knowledge representation.