Abstract: This research paper explores the importance of metadata in data management and presents a metadata retrieving system designed to assist in the organization and retrieval of digital information. The paper discusses the challenges associated with metadata retrieval, including issues related to accuracy, completeness, and consistency. The proposed system utilizes machine learning algorithms to automate the metadata retrieval process, reducing the time and effort required to locate specific data within a large dataset. The paper also presents the results of a case study demonstrating the effectiveness of the system in retrieving metadata from real-world datasets. Overall, this paper provides valuable insights into the role of metadata in data management and offers a practical solution to the challenges of metadata retrieval.
Keywords: metadata, retrieval, data
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DOI:
10.17148/IJARCCE.2023.12360
