Servicios Personalizados
Revista
Articulo
Indicadores
Citado por SciELO
Accesos
Links relacionados
Similares en SciELO
Compartir
International Journal of Combinatorial Optimization Problems and Informatics
versión On-line ISSN 2007-1558
Resumen
GONZALEZ, Juan J. et al. Semantic representations for knowledge modelling of a Natural Language Interface to Databases using ontologies. International J. of Combinatorial Optim. Problems and Informatics [online]. 2015, vol.6, n.2, pp.28-42. ISSN 2007-1558.
Despite the large number of Natural Language Interfaces to Databases (NLIDB) that have been implemented, they do not guarantee to provide a correct response in 100% of the queries. In this paper, we present a way of semantic modelling the elements that integrate the knowledge of a NLIDB with the aim of increasing the number of correctly-answered queries. We design semantic representations in order to: a) model any relational database schema and its relationship with the natural language and b) add metadata to natural language words to enable our NLIDB to interpret natural language queries that contain superlatives. We configured our NLIDB in a relational database that we migrated from Geobase and used the Geoquery250 corpus to evaluate its performance. We compare its performance with the interfaces ELF, Freya and NLP-Reduce. The results indicate that our proposal allowed our NLIDB to obtain the best performance.
Palabras llave : Natural Language Interface to Databases; Semantic Representations; Knowledge; Ontology.
