Semantic Label Property Graph Ontologies: A Methodology for Enhanced Data Management in Digital Libraries

Ontologies are crucial for managing and integrating diverse datasets in digital libraries, where data heterogeneity poses ongoing challenges. This paper presents a novel framework specifically designed to address the unique needs of digital libraries using Semantic Label Property Graphs. Our methodology aligns with semantic web standards, offering a sophisticated approach to data management that enhances integration, querying, and visualization of complex datasets. The proposed framework supports automated ontology generation, advanced semantic integration, and seamless visualization, leveraging the structural efficiency of Property Graphs with semantic annotations to optimize resource discovery, management, and retrieval. We detail the architecture and core functionalities of the framework, demonstrating its adaptability in managing complex ontologies and improving workflows for researchers and practitioners. Empirical evaluations reveal significant performance improvements in data management and linked data integration, underscoring the framework's potential to streamline workflows and enhance semantic interoperability. This innovative approach addresses the evolving challenges of large-scale data management, positioning the framework as a valuable tool for the future of digital libraries.