Name
Abstract | ||
|---|---|---|
OntoLearn is a system for automatic acquisition of specialized ontologies from domain corpora, based on a syntactic pattern matching technique for word sense disambiguation, called structural semantic interconnection (SSI). We use SSI to extract from corpora complex domain concepts and create a specialized version of WordNet. In order to facilitate the task of domain specialists who inspects and evaluate the newly acquired domain ontology, we defined a method to automatically generate glosses for the learned concepts. Glosses provide an informal description, in natural language, of the formal specifications of a concept, facilitating a per- concept evaluation of the ontology by domain specialists, who are usually unfamiliar with the formal language used to describe a computational ontology. The proposed evaluation framework has been tested in a financial domain. |
Year | Venue | Keywords |
|---|---|---|
2004 | LREC | formal specification,pattern matching,natural language,formal language |
Field | DocType | Citations |
Specification language,Ontology (information science),Ontology,Formal language,Computer science,Formal specification,Object language,Natural language,Artificial intelligence,Natural language processing,WordNet | Conference | 1 |
PageRank | References | Authors |
0.48 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Cucchiarelli | 1 | 226 | 36.38 |
| Roberto Navigli | 2 | 197 | 13.50 |
| Francesca Neri | 3 | 65 | 7.77 |
| paola velardi | 4 | 1553 | 163.66 |