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Natural Language Data Queries on Multiple Heterogenous Data Sources

Abstract

Motivated by a real-world scenario, we enable end users to query data due natural language from different sources like spreadsheets and databases. We provide a natural language user interface (NLUI) solution on how real-world entities and relations between them can be interpreted as a model to allow end user questions on the data. Therefore, the system enables end users to give instructions step-by-step, to avoid the complexity in full descriptions and give directly feedback of success. An evaluation is conducted with human users who had to perform a series of tasks using natural language. Overall, 13 end user took part in our survey with ten questions. 94.9% of all answers in the first part could be resolved on spreadsheet data, and 62,5% on SQL database.

BibTeX

@inproceedings{wachtel_natural_2019,
author={Wachtel, Alexander and Fuch{\ss}, Dominik and Przybylla, Matthias and Tichy, Walter F.},
editor={Malizia, Alessio and Valtolina, Stefano and Morch, Anders and Serrano, Alan and Stratton, Andrew},
title={{Natural Language Data Queries on Multiple Heterogenous Data Sources}},
booktitle={End-User Development},
year={2019},
publisher={Springer International Publishing},
}