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.
| Lingua originale | Inglese |
|---|---|
| Titolo della pubblicazione ospite | ACM International Conference Proceeding Series |
| Editore | Association for Computing Machinery |
| Pagine | 1-6 |
| Numero di pagine | 6 |
| ISBN (stampa) | 9781450325387 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2014 |
All Science Journal Classification (ASJC) codes
- Software
- Interazione Uomo-Macchina
- Visione Artificiale e Riconoscimento di Pattern
- Reti e Comunicazioni Informatiche
Keywords
- I.2.7 [Artificial Intelligence]: Natural Language Processing - Text analysis
- J.1 [Computer Applications]: Administrative Data Processing - Law