A language for graph database evolution and its implementation in Neo4j

URN to cite this document:: urn:nbn:de:bvb:355-epub-770402
DOI to cite this document:: 10.5283/epub.77040

Hausler, Dominique

; Klettke, Meike

; Störl, Uta

License: Creative Commons Attribution 4.0
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Date of publication of this fulltext: 10 Jul 2025 05:30

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Item type:	Book section
Open Access Type:	CC-License
Title of Book:	ER-Companion 2023 ER Forum, 7th SCME, Project Exhibitions, Posters and Demos, and Doctoral Consortium
Other Series:	CEUR Workshop Proceedings
Volume:	3618
Date:	2023
Institutions:	Informatics and Data Science > Department Foundation of Computer Science > Data Engineering (Prof. Dr.-Ing. Meike Klettke)
Projects:	NoSQL-Schema-Evolution und skalierbare Big Data Datenmigration II Funded by: Deutsche Forschungsgemeinschaft (DFG) (385808805)
Keywords:	graph databases evolution, evolution, graph schema description, graph evolution language
Dewey Decimal Classification:	000 Computer science, information & general works > 004 Computer science
Status:	Published
Refereed:	Yes, this version has been refereed
Created at the University of Regensburg:	Partially
Item ID:	77040

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Abstract

In this article, we present an evolution language for graph databases and a method to realize evolution operations on graph databases and their schema. Graph database management systems like Neo4j can be used for different scenarios: they can store graphs where no semantic constraints are checked. It is also possible to use them to store graphs where the structure of nodes and relationships is ...