We describe a methodology for the automatic classificationof legal cases expressed in natural language, which relieson existing legal ontologies and a commonsense knowledgebase. This methodology is founded on a process consisting ofthree phases: an enrichment of a given legal ontology by as-sociating its terms with topics retrieved from the Wikipediaknowledge base; an extraction of relevant concepts from agiven textual legal case; and a matching between the en-riched ontological terms and the extracted concepts. Such aprocess has been successfully implemented in a correspond-ing tool that is part of a larger framework for self-litigationand legal support for the Italian law.

A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases

CAPUANO, Nicola;DE MAIO, CARMEN;SALERNO, Saverio;TOTI, DANIELE
2014

Abstract

We describe a methodology for the automatic classificationof legal cases expressed in natural language, which relieson existing legal ontologies and a commonsense knowledgebase. This methodology is founded on a process consisting ofthree phases: an enrichment of a given legal ontology by as-sociating its terms with topics retrieved from the Wikipediaknowledge base; an extraction of relevant concepts from agiven textual legal case; and a matching between the en-riched ontological terms and the extracted concepts. Such aprocess has been successfully implemented in a correspond-ing tool that is part of a larger framework for self-litigationand legal support for the Italian law.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4426266
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