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arXiv · 2208.10415

NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments

Genoveva Vargas-Solar·Karim Dao·Mirian Halfeld Ferrari Alves
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Abstract

This paper introduces NLDS-QL, a translator of data science questions expressed in natural language (NL) into data science queries on graph databases. Our translator is based on a simplified NL described by a grammar that specifies sentences combining keywords to refer to operations on graphs with the vocabulary of the graph schema. The demonstration proposed in this paper shows NLDS-QL in action within a scenario to explore and analyse a graph base on patient diagnoses generated with the open-source Synthea.

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Genoveva Vargas-Solar, Karim Dao, Mirian Halfeld Ferrari Alves. 2022-08-22. NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments. https://arxiv.org/abs/2208.10415

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