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An Approach to Legal Rules Modelling and Automatic Learning
Enrico Francesconi
59 - 68
10.3233/978-1-60750-082-7-59
Frontiers in Artificial Intelligence and Applications
Volume 205: Legal Knowledge and Information Systems
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.

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