Semantic representations for knowledge modelling of a Natural Language Interface to Databases using ontologies

Authors

  • Juan J. González Instituto Tecnológico de Ciudad Madero
  • Rogelio Florencia-Juarez Instituto Tecnológico de Ciudad Madero
  • Héctor J. Fraire Instituto Tecnológico de Ciudad Madero
  • Rodolfo A. Pazos Rangel Instituto Tecnológico de Ciudad Madero
  • Laura Cruz-Reyes Instituto Tecnológico de Ciudad Madero
  • Claudia Gómez Instituto Tecnológico de Ciudad Madero

Keywords:

Natural Language Interface, Ontology

Abstract

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.

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Published

2015-05-16

How to Cite

González, J. J., Florencia-Juarez, R., Fraire, H. J., Pazos Rangel, R. A., Cruz-Reyes, L., & Gómez, C. (2015). Semantic representations for knowledge modelling of a Natural Language Interface to Databases using ontologies. International Journal of Combinatorial Optimization Problems and Informatics, 6(2), 28–42. Retrieved from https://ijcopi.org/ojs/article/view/54

Issue

Vol. 6 No. 2 (2015)

Section

Articles

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