SciELO - Scientific Electronic Library Online

 
vol.6 número2Finding relevant features for identifying subtypes of Guillain-Barré Syndrome using Quenching Simulated Annealing and Partitions Around MedoidsStability of Connected Dominating Sets in the Presence of Static Nodes in a Mobile Ad hoc Network índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Não possue artigos similaresSimilares em SciELO

Compartilhar


International Journal of Combinatorial Optimization Problems and Informatics

versão On-line ISSN 2007-1558

Resumo

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.

Palavras-chave : Natural Language Interface to Databases; Semantic Representations; Knowledge; Ontology.

        · texto em Inglês     · Inglês ( pdf )