Automatic Generation of Glosses in the OntoLearn System
Alessandro Cucchiarelli, Roberto Navigli, Francesca Neri, Paola Velardi · 2004
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 perconcept 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.