We describe a methodology for the automatic classification of legal cases expressed in natural language, which relies on existing legal ontologies and a commonsense knowledge base. This methodology is founded on a process consisting of three phases: an enrichment of a given legal ontology by associating its terms with topics retrieved from the Wikipedia knowledge base; an extraction of relevant concepts from a given textual legal case; and a matching between the enriched ontological terms and the extracted concepts. Such a process has been successfully implemented in a corresponding tool that is part of a larger framework for self-litigation and legal support for the Italian law. © 2014 ACM.
Capuano, N., De Maio, C., Salerno, S., Toti, D., A methodology based on commonsense knowledge and ontologies for the automatic classification of legal cases, Paper, in ACM International Conference Proceeding Series, (Thessaloniki, grc, 02-04 June 2014), Association for Computing Machinery, 1515 BROADWAY, NEW YORK, NY 10036-9998 USA 2014: 1-6. 10.1145/2611040.2611048 [http://hdl.handle.net/10807/165873]
A methodology based on commonsense knowledge and ontologies for the automatic classification of legal cases
Toti, Daniele
2014
Abstract
We describe a methodology for the automatic classification of legal cases expressed in natural language, which relies on existing legal ontologies and a commonsense knowledge base. This methodology is founded on a process consisting of three phases: an enrichment of a given legal ontology by associating its terms with topics retrieved from the Wikipedia knowledge base; an extraction of relevant concepts from a given textual legal case; and a matching between the enriched ontological terms and the extracted concepts. Such a process has been successfully implemented in a corresponding tool that is part of a larger framework for self-litigation and legal support for the Italian law. © 2014 ACM.
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