Name
Title | ||
|---|---|---|
A Methodology based on Commonsense Knowledge and Ontologies for the Automatic Classification of Legal Cases |
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2611040.2611048 | WIMS |
Keywords | Field | DocType |
law,text analysis,wikipedia,natural language processing,information extraction | Ontology (information science),Ontology,Commonsense knowledge,Legal case,Computer science,Natural language,Information extraction,Artificial intelligence,Natural language processing,Knowledge base,Legal ontology | Conference |
Citations | PageRank | References |
7 | 0.48 | 8 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicola Capuano | 1 | 280 | 26.88 |
| Carmen De Maio | 2 | 222 | 16.95 |
| Saverio Salerno | 3 | 319 | 37.04 |
| Daniele Toti | 4 | 105 | 13.86 |