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Computer Science > Databases

arXiv:2501.16605 (cs)
[Submitted on 28 Jan 2025]

Title:Impact and influence of modern AI in metadata management

Authors:Wenli Yang, Rui Fu, Muhammad Bilal Amin, Byeong Kang
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Abstract:Metadata management plays a critical role in data governance, resource discovery, and decision-making in the data-driven era. While traditional metadata approaches have primarily focused on organization, classification, and resource reuse, the integration of modern artificial intelligence (AI) technologies has significantly transformed these processes. This paper investigates both traditional and AI-driven metadata approaches by examining open-source solutions, commercial tools, and research initiatives. A comparative analysis of traditional and AI-driven metadata management methods is provided, highlighting existing challenges and their impact on next-generation datasets. The paper also presents an innovative AI-assisted metadata management framework designed to address these challenges. This framework leverages more advanced modern AI technologies to automate metadata generation, enhance governance, and improve the accessibility and usability of modern datasets. Finally, the paper outlines future directions for research and development, proposing opportunities to further advance metadata management in the context of AI-driven innovation and complex datasets.
Subjects: Databases (cs.DB); Artificial Intelligence (cs.AI)
Cite as: arXiv:2501.16605 [cs.DB]
  (or arXiv:2501.16605v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2501.16605

Submission history

From: Wenli Yang [view email]
[v1] Tue, 28 Jan 2025 00:44:38 UTC (824 KB)
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