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

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arxiv 2208.10415 v1 pith:C45H66U5 submitted 2022-08-22 cs.DB

Genoveva Vargas-Solar , Karim Dao , Mirian Halfeld Ferrari Alves This is my paper · ORCID
classification cs.DB
keywords datagraphnlds-qlsciencegraphslanguagenaturalqueries
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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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