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.
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Wachtel, A., Fuchß, D., Przybylla, M., Tichy, W.F. (2019). Natural Language Data Queries on Multiple Heterogenous Data Sources. In: Malizia, A., Valtolina, S., Morch, A., Serrano, A., Stratton, A. (eds) End-User Development. IS-EUD 2019. Lecture Notes in Computer Science(), vol 11553. Springer, Cham. https://doi.org/10.1007/978-3-030-24781-2_13
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