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Natural Language Data Queries on Multiple Heterogenous Data Sources

Wachtel, Alexander 1; Fuchß, Dominik ORCID iD icon 1; Przybylla, Matthias 1; Tichy, Walter F. ORCID iD icon 1
1 Karlsruher Institut für Technologie (KIT)


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.

DOI: 10.1007/978-3-030-24781-2_13
Zitationen: 2
Zitationen: 2
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-3-030-24781-2
KITopen-ID: 1000094121
Erschienen in End-User Development: 7th International Symposium, IS-EUD 2019, Hatfield, UK, July 10–12, 2019, Proceedings. Ed.: A. Malizia
Veranstaltung 7th International Symposium on End User Development (IS-EUD 2019), Hatfield, Vereinigtes Königreich, 10.07.2019 – 12.07.2019
Verlag Springer
Seiten 174-182
Serie Lecture Notes in Computer Science (LNCS) ; 11553
Nachgewiesen in Scopus
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