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Communication Dans Un Congrès Année : 2023

Translating data science queries from natural language into graph analytics queries using NLDS-QL

Résumé

This paper introduces NLDS-QL 1 , 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. This paper shows NLDS-QL in action within a scenario to explore and analyse a graph base with patient diagnoses generated with the open-source Synthea.
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Dates et versions

hal-04272051 , version 1 (06-11-2023)

Identifiants

  • HAL Id : hal-04272051 , version 1

Citer

Genoveva Vargas-Solar, Karim Dao, Javier Espinosa-Oviedo. Translating data science queries from natural language into graph analytics queries using NLDS-QL. Workshops of the EDBT/ICDT 2023 Joint Conference, Mar 2023, Ioannina, Greece. ⟨hal-04272051⟩
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