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@article{204019,
        author = {Harihararao Mojjada and Dr. Dasari Narayana},
        title = {Ontology-Based Framework for Information organization in Digital Libraries},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {898-912},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=204019},
        abstract = {The increasing complexity of digital library ecosystems has exposed the limitations of conventional metadata-driven and keyword-based information organization approaches. Ontologies, as formal semantic knowledge representation structures, offer significant potential for enhancing interoperability, intelligent retrieval, and knowledge integration across heterogeneous digital library systems. However, existing research predominantly addresses isolated technical components without proposing a unified, scalable architectural framework for operational deployment. This study proposes a comprehensive Ontology-Based Framework (OBF) for information organization in digital libraries, integrating knowledge representation, metadata interoperability, semantic search, and user interaction within a layered architecture aligned with Semantic Web and FAIR data principles. A mixed-methods research design was employed, combining a PRISMA-guided systematic review of fifteen SCOPUS-indexed studies with empirical retrieval performance evaluation across three open-access digital library platforms. Ontology engineering methodologies and semantic web technologies were synthesized to construct and validate the framework. Quantitative results demonstrate statistically significant improvements in retrieval effectiveness, with ontology-based systems achieving higher precision (0.81), recall (0.75), F-measure (0.78), and Mean Reciprocal Rank (0.74) compared to traditional keyword-based systems. Findings confirm that ontological integration substantially enhances complex multi-concept information discovery, semantic interoperability, and user satisfaction while supporting Linked Open Data publication. The proposed OBF provides a scalable, domain-agnostic architectural blueprint for semantic digital library transformation. The study offers practical implementation guidelines for library professionals and establishes a foundation for future research in intelligent knowledge-driven digital library systems.},
        keywords = {Digital Libraries; Ontology Engineering; Semantic Web; Information Retrieval; Knowledge Organization Systems.},
        month = {June},
        }