Data2Neo - A Tool for Complex Neo4j Data Integration
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866914833021009920 |
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| author | Minder, Julian Brandenberger, Laurence Salamanca, Luis Schweitzer, Frank |
| author_facet | Minder, Julian Brandenberger, Laurence Salamanca, Luis Schweitzer, Frank |
| contents | 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 . |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_04995 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Data2Neo - A Tool for Complex Neo4j Data Integration Minder, Julian Brandenberger, Laurence Salamanca, Luis Schweitzer, Frank Databases 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 . |
| title | Data2Neo - A Tool for Complex Neo4j Data Integration |
| topic | Databases |
| url | https://arxiv.org/abs/2406.04995 |