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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Representing Judicial Argumentation in the Semantic Web
verfasst von : Marcello Ceci
Erschienen in: AI Approaches to the Complexity of Legal Systems
Verlag: Springer Berlin Heidelberg
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This paper presents part of a Semantic Web framework for precedent modelling. The research applies theoretical models of legal knowledge representation and rule interchange for applications in the legal domain to a set of real legal documents. The aim is to represent 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, providing 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.