Enhancing Information Retrieval Through Knowledge Organization And Metadata: A Study Of University Libraries

Résumé: This research study investigates the critical role of knowledge organization and metadata in elevating information retrieval processes within university libraries.. The study also explores knowledge organization practices within university libraries, emphasizing the significance of classification, taxonomy development, and indexing schemes.. Furthermore, the study examines the intersection of knowledge organization with emerging technologies, such as artificial intelligence and natural language processing, to assess their potential for automating classification and content enrichment in university library collections. In parallel, the research inquires into the diverse facets of metadata creation, management, and application within university libraries.. To empirically evaluate the impact of knowledge organization and metadata in university libraries, this study aims to guide university libraries in optimizing their information retrieval systems to meet the ever-evolving needs of their academic communities. Ultimately, it aspires to contribute to the broader mission of fostering knowledge creation and dissemination within the academic sphere.

Publié dans la revue: revue de bibliothéconomie