Comparative study on the customization of natural language interfaces to databases
| Autor: | O Joaquín Pérez, A O Andrés Verástegui, A L Marco Aguirre, J B Juan González, A F José Martínez, A R Rodolfo Pazos |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
SQL
Multidisciplinary Natural language user interface Database End user Computer science Interface (Java) Research Natural language processing Natural language interface Database administrator 02 engineering and technology Data dictionary Semantic modelling computer.software_genre Personalization Databases 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing computer Natural language computer.programming_language |
| Zdroj: | SpringerPlus |
| ISSN: | 2193-1801 |
| Popis: | In the last decades the popularity of natural language interfaces to databases (NLIDBs) has increased, because in many cases information obtained from them is used for making important business decisions. Unfortunately, the complexity of their customization by database administrators make them difficult to use. In order for a NLIDB to obtain a high percentage of correctly translated queries, it is necessary that it is correctly customized for the database to be queried. In most cases the performance reported in NLIDB literature is the highest possible; i.e., the performance obtained when the interfaces were customized by the implementers. However, for end users it is more important the performance that the interface can yield when the NLIDB is customized by someone different from the implementers. Unfortunately, there exist very few articles that report NLIDB performance when the NLIDBs are not customized by the implementers. This article presents a semantically-enriched data dictionary (which permits solving many of the problems that occur when translating from natural language to SQL) and an experiment in which two groups of undergraduate students customized our NLIDB and English language frontend (ELF), considered one of the best available commercial NLIDBs. The experimental results show that, when customized by the first group, our NLIDB obtained a 44.69 % of correctly answered queries and ELF 11.83 % for the ATIS database, and when customized by the second group, our NLIDB attained 77.05 % and ELF 13.48 %. The performance attained by our NLIDB, when customized by ourselves was 90 %. |
| Databáze: | OpenAIRE |
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