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 | English |
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| Titolo della pubblicazione ospite | ACM International Conference Proceeding Series |
| Pagine | 1-6 |
| Numero di pagine | 6 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2014 |
| Evento | 4th International Conference on Web Intelligence, Mining and Semantics, WIMS 2014 - Thessaloniki, grc Durata: 2 giu 2014 → 4 giu 2014 |
Convegno
| Convegno | 4th International Conference on Web Intelligence, Mining and Semantics, WIMS 2014 |
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| Città | Thessaloniki, grc |
| Periodo | 2/6/14 → 4/6/14 |
Keywords
- I.2.7 [Artificial Intelligence]: Natural Language Processing - Text analysis
- J.1 [Computer Applications]: Administrative Data Processing - Law