Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)

Empowering Digital Library Management through Knowledge Graphs

Authors
Partha Sarathi Mandal1, *, Sukumar Mandal1
1Department of Library and Information Science, The University of Burdwan, Burdwan, India
*Corresponding author. Email: mandalpsm@gmail.com
Corresponding Author
Partha Sarathi Mandal
Available Online 31 December 2025.
DOI
10.2991/978-2-38476-533-1_23How to use a DOI?
Keywords
Semantic Search; Ontology; Information Retrieval; Data Integration; Linked Data
Abstract

Digital libraries are huge bodies of books, journals, multimedia and metadata which require complex methods of organization and retrieval. The traditional key word search cannot be used to find resources because of the complexity of relationship that exists between them. This dilemma is a clever solution using the knowledge graphs since it enables semantic search and creating meaningful relations between the related objects. Knowledge graphs enhance information retrieval, personalization of recommendation and smooth integration of information into various systems. The paper has described the advantages of knowledge graphs in digital libraries and how it has affected the search, discovery and long-term preservation process. It outlines various key implementation steps such as data acquisition, ontology/schema design and integration with existing services.Real world experience Case studies of university, public and special libraries demonstrate practical applications with increased discovery, user engagement and preservation results. The discussion also addresses challenges, including data quality, consistency, scalability, and system performance, standards and models such as RDF, RDFS/OWL, SKOS, SPARQL, JSON-LD, BIBFRAME, Dublin Core, Europeana Data Model, CIDOC CRM, PREMIS, and IIIF are reviewed to ensure interoperability and compliance with FAIR data principles. Knowledge graphs are shown to organize works, authors, subjects, and places in a machine-readable graph, providing precise answers and richer context. Transforming libraries from static repositories into intelligent, connected systems, knowledge graphs establish active knowledge hubs that advance research, learning, and cultural preservation. This article explores the true potential of information in the digital age and how knowledge graphs can revolutionize the organization, access, and discovery of information within digital libraries.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2025
ISBN
978-2-38476-533-1
ISSN
2352-5398
DOI
10.2991/978-2-38476-533-1_23How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Partha Sarathi Mandal
AU  - Sukumar Mandal
PY  - 2025
DA  - 2025/12/31
TI  - Empowering Digital Library Management through Knowledge Graphs
BT  - Proceedings of the International Conference on Smart Systems and Social Management (ICSSSM-2 2025)
PB  - Atlantis Press
SP  - 379
EP  - 393
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-533-1_23
DO  - 10.2991/978-2-38476-533-1_23
ID  - Mandal2025
ER  -