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Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases

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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 601))

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Abstract

Most research work about the development of Natural Language Interface to Databases (NLIDB) has been focused on the study of the interpretation and translation from natural language queries to SQL queries. For this purpose and in order to improve the performance in a NLIDB, researchers have addressed different issues related to natural language processing. In addition to this, we consider that the performance of a NLIDB also depends on its ability to adapt to a database schema. For this reason, we analyzed the Geobase, ATIS and Northwind database schemas, commonly used to evaluate NLIDBs. As a result of this analysis, we present in this paper some issues arising from the three database schemas analyzed, which they should be considered in the implementation of a NLIDB to improve its performance.

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Authors and Affiliations

  1. Instituto Tecnológico de Ciudad Madero, Tecnológico Nacional de México, Madero, México

    Rogelio Florencia-Juárez, Juan J. González B., Rodolfo A. Pazos R., José A. Martínez F. & María L. Morales-Rodríguez

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  1. Rogelio Florencia-Juárez
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  2. Juan J. González B.
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  3. Rodolfo A. Pazos R.
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  4. José A. Martínez F.
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  5. María L. Morales-Rodríguez
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Correspondence to Rodolfo A. Pazos R. .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  3. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Florencia-Juárez, R., González B., J.J., Pazos R., R.A., Martínez F., J.A., Morales-Rodríguez, M.L. (2015). Analysis of Some Database Schemas Used to Evaluate Natural Language Interfaces to Databases. In: Melin, P., Castillo, O., Kacprzyk, J. (eds) Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization. Studies in Computational Intelligence, vol 601. Springer, Cham. https://doi.org/10.1007/978-3-319-17747-2_42

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  • DOI: https://doi.org/10.1007/978-3-319-17747-2_42

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  • Online ISBN: 978-3-319-17747-2

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