The Smart Backbone: AI and ML in Enterprise Metadata Management
DOI:
https://doi.org/10.15680/IJCTECE.2020.0302002Keywords:
Enterprise Metadata Management, Artificial Intelligence, Machine Learning, Data Governance, Data Catalogs, Metadata Automation, Knowledge GraphsAbstract
Enterprise metadata management (EMM) has emerged as a critical capability for organizations seeking to manage complex, distributed, and growing data environments. However, traditional metadata systems often struggle with scale, accuracy, and adaptability. This paper investigates the transformative role of Artificial Intelligence (AI) and Machine Learning (ML) in modernizing enterprise metadata strategies. AI and ML not only automate metadata generation but also improve metadata quality, integration, and real-time responsiveness. Through literature insights, comparative tools analysis, and workflow modeling, this study demonstrates how intelligent metadata systems act as the "smart backbone" of enterprise data ecosystems, enabling smarter governance, search, and analytics.
References
1. Corrado, E. M. (Artificial Intelligence and Metadata Creation. Technical Services Quarterly, 38(4), 395–405.
2. Khan, A., Zhang, M., & Ruan, Y. Metadata Reconciliation Using Machine Learning. Data Management Today,6(2), 118–129.
3. Ali, D. et al. (2024). Deep Learning for Metadata Extraction from Images. Journal of Digital Systems, 12(4), 211–225.
4. Santos, L. O. B. et al. (2023). Ontology-Based Metadata Using Knowledge Graphs. Data Intelligence, 5(1), 163–183.
5. Gartner, Inc. Market Guide for Metadata Management Solutions. Gartner Research.
6. Wu, M. F. et alMetadata Annotation in Enterprise AI. Data Intelligence, 5(1), 122–138.
7. Bagchi, M. (2024). Adaptive Metadata Structuring with Generative Models. arXiv:2501.04008.
8. Smith, R. & Kumar, D. AI for Metadata in Healthcare Systems. Journal of Biomedical Informatics, 98, 103281.
9. Kale, A. et al. (2023). Explainable AI in Metadata Tagging. Data Intelligence, 5(1), 139–162.
10. Zhang, Y. & Li, X. Natural Language Processing for Metadata Generation. Journal of Information Practice, 3(1),147–160.
11. Liu, J., Wang, L., & Feng, C. ML in Enterprise Data Catalogs. Enterprise Data Journal, 14(2), 88–101.
12. Oyighan, D. et al. (2024). AI Trends in Metadata Governance. Asian J. of Info Sci & Tech, 14(2), 20–26.
13. Kale, A. & Harris, J. (2023). FAIR Metadata Automation. Data Intelligence, 5(1), 139–162.
14. How, H., Mering, M., & Kraus, S. Metadata Lifecycle in AI Systems. Journal of Digital Curation, 15(3), 114–130.
15. Suthaharan, S. Machine Learning Models for Big Data Metadata. Machine Learning Models for Big Data, 207–235.
16. IBM (2023). Enterprise Metadata Management with Watson. IBM Technical White Paper.
