Ontology framework for judgment modelling

  • Authors:
  • Marcello Ceci;Monica Palmirani

  • Affiliations:
  • CIRSFID, University of Bologna, Italy;CIRSFID, University of Bologna, Italy

  • Venue:
  • AICOL'11 Proceedings of the 25th IVR Congress conference on AI Approaches to the Complexity of Legal Systems: models and ethical challenges for legal systems, legal language and legal ontologies, argumentation and software agents
  • Year:
  • 2011

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Abstract

The paper shows how to model judgments starting from the text and capturing not only the structural parts, but also the basic arguments used by the judge to reach its conclusions. We have also included a qualification of citations following the Shepard's method. The goal of this approach is to build a complete ontology framework capable of detecting and modelling knowledge directly from the judgment's text, providing the basic metadata to the logic and reasoning layers.