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.
The work has been founded by the AI4fit project (POR-FSER Sardegna 2014–2020, CUP: F25D17000200008).
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Bacci, F., Cau, F.M., Spano, L.D. (2020). Inspecting Data Using Natural Language Queries. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_55
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DOI: https://doi.org/10.1007/978-3-030-58817-5_55
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