论文标题
NLDS-QL：从自然语言数据科学问题到图表的查询：分析患者条件和治疗
NLDS-QL: From natural language data science questions to queries on graphs: analysing patients conditions & treatments
论文作者
论文摘要
本文将自然语言（NL）的数据科学问题的翻译者介绍给图形数据库的数据科学查询中。我们的翻译器基于语法所描述的简化NL，该语法指定句子结合了关键字，以参考图形上的词汇和图形架构的词汇。本文提出的演示表明，在一种情况下，NLDS-QL在探索和分析用开源合成生产生的患者诊断的图形基础的情况下进行了行动。
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.
