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ABSTRACT
Library catalogues are essential for information retrieval and knowledge acquisition. Traditional methods struggle to represent the relationships between digital assets. This project investigates the use of knowledge graphs, a flexible and scalable approach, for library cataloguing. The project aims to design a knowledge graph to represent library entities and their relationships, build the knowledge graph for a library catalogue, and test its correctness. The focus is on modelling library entities like books, authors, and subjects, and the relationships between them. Property graphs will be used due to time constraints. This project offers a more dynamic representation of library catalogue data, enabling richer search experiences and enhanced discovery capabilities.
