Inspecting Data Using Natural Language Queries

Cau F. M.
;Spano L. D.
2020-01-01

Abstract

In this paper, we discuss a simple architecture for supporting the inspection of a generic dataset using natural language queries. We show how to integrate modern Artificial Intelligence libraries in the system and how to derive chart visualization out of the user’s intent. The result is a lightweight architecture for supporting such natural language queries in web-based visualization tools. Finally, we report on the user evaluation of the interface, showing a good acceptance and effectiveness of the proposed approach.
2020
Inglese
Computational Science and Its Applications – ICCSA 2020. 20th International Conference, Cagliari, Italy, July 1–4, 2020, Proceedings, Part VI
978-3-030-58816-8
978-3-030-58817-5
Springer
LECTURE NOTES IN COMPUTER SCIENCE
12254
771
782
12
WOS:000719729800055
2-s2.0-85092667060
20th International Conference on Computational Science and Its Applications, ICCSA 2020
Contributo
Esperti anonimi
1-4 July 2020
Cagliari, Italy
internazionale
scientifica
Artificial Intelligence; Data visualization; Human computer interaction; Natural language interaction
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Bacci, F.; Cau, F. M.; Spano, L. D.
273
3
4.1 Contributo in Atti di convegno
reserved
info:eu-repo/semantics/conferencePaper
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