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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 3, MARCH 2023

Metadata Retriever tool

Abhirami Aravind , Feon Jaison

DOI: 10.17148/IJARCCE.2023.12360

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

How to Cite:

[1] Abhirami Aravind , Feon Jaison, “Metadata Retriever tool,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.12360