Student: Daniela Eberhard     (2024)

Supervisor: a.Univ.-Prof. DI Dr. Wolfram Wöß

Abstract

The use of graphs for data storage is becoming increasingly popular. This work examines the suitability of PostgreSQL as a database for storing graphs. The fundamentals of knowledge graphs and their models are explored, including definitions, foundations, additional components, and advantages. PostgreSQL, as a relational database, is also closely examined, with a focus on investigating how efficiently graph data can be stored in PostgreSQL. Subsequently, the acquired knowledge is applied, and two variants for storing graph data in PostgreSQL are analysed. However, this study highlights that PostgreSQL poses challenges as a database for graph storage. These findings contribute to a more comprehensive understanding between PostgreSQL as a database system and knowledge graphs, requiring careful consideration of potential obstacles and opportunities.