Representing Judicial Argumentation in the Semantic Web (original) (raw)

Lecture Notes in Computer Science, 2014

Abstract

ABSTRACT This paper presents part of a Semantic Web framework for precedent modelling, aimed at achieving a strong text-to-knowledge morphism between legal text and legal concepts by filling the gap between the semantics of judicial documents and the syntax of legal norms. The research relies on the previous efforts of the community in the field of legal knowledge representation and rule interchange for applications in the legal domain, and tries to apply those theoretical models to a set of real legal documents. The aim is to formalize the legal concepts and the argumentation patterns contained in a judgement, as expressed by the judicial text. The bases of the framework are a set of metadata associated with judicial concepts and an ontology library, combining the features of OWL2 and description logics to provide a semantically powerful representation of case-law and a solid ground for an argumentation system based on defeasible rules. The present paper shortly presents the metadata and ontology layers, focusing on the rules and argumentation layers. In the example provided, an application of the Carneades Argumentation System, the framework reconstructs the legal interpretations performed by the judge in a specific judicial decision, presenting its reasoning path, and suggesting possible different interpretations in the light of relevant code-and case-law.

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