Application of Linked Data Models in Digital Content Management

Abstract

The incorporation of Linked Data into digital content management is revolutionizing how libraries and digital repositories organize, access, and share information. This paper delves into the fundamental principles of Linked Data, highlighting its significance in improving data interoperability, enriching metadata, and facilitating seamless information retrieval. It examines key models such as RDF, BIBFRAME, and MarcEdit for their effectiveness in structuring and interlinking bibliographic data, which enhances cataloging processes and supports global data exchange. The study showcases successful implementations, including initiatives by OCLC, the CoBiS project, and the adoption of RDF frameworks by national libraries, all of which demonstrate notable advancements in resource discoverability. Despite facing challenges like metadata inconsistencies, technical complexities, and sustainability issues, the potential benefits of Linked Data integration are substantial.