This paper introduces Data2Neo, an open-source Python library for converting relational data into knowledge graphs stored in Neo4j databases. With extensive customization options and support for continuous online data integration from various data sources, Data2Neo is designed to be user-friendly, efficient, and scalable to large datasets. The tool significantly lowers the barrier to entry for creating and using knowledge graphs, making this increasingly popular form of data representation accessible to a wider audience. The code is available at https://github.com/jkminder/data2neo .

翻译：本文介绍了Data2Neo，这是一个用于将关系型数据转换为存储在Neo4j数据库中的知识图谱的开源Python库。凭借广泛的定制选项以及对来自不同数据源的持续在线数据集成支持，Data2Neo被设计为用户友好、高效且可扩展至大型数据集。该工具显著降低了创建和使用知识图谱的入门门槛，使得这种日益流行的数据表示形式能够为更广泛的受众所用。代码可在https://github.com/jkminder/data2neo获取。