A methodology based on commonsense knowledge and ontologies for the automatic classification of legal cases

Nicola Capuano, Carmen De Maio, Saverio Salerno, Daniele Toti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
Pages1-6
Number of pages6
DOIs
Publication statusPublished - 2014
Event4th International Conference on Web Intelligence, Mining and Semantics, WIMS 2014 - Thessaloniki, grc
Duration: 2 Jun 20144 Jun 2014

Conference

Conference4th International Conference on Web Intelligence, Mining and Semantics, WIMS 2014
CityThessaloniki, grc
Period2/6/144/6/14

Keywords

  • I.2.7 [Artificial Intelligence]: Natural Language Processing - Text analysis
  • J.1 [Computer Applications]: Administrative Data Processing - Law

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