Leveraging AI for Enhanced Dataset Usability: Intelligent Summarization and Labeling for Academic-Industry Collaboration

Authors

  • Mr. Dhaval J. Thaker Research Scholar, Faculty of Computer Science, Sankalchand Patel University, Visnagar, Gujarat, India Author
  • Dr. Hitesh R. Raval Associate Professor, Sankalchand Patel University, Visnagar, Gujarat, India Author
  • Dr. Juhi Khengar Assistant Professor, School of Information Technology, AURO University, Surat, Gujarat, India Author

DOI:

https://doi.org/10.48047/3xjtdx63

Keywords:

AI-driven dataset management, intelligent data labeling, Automated dataset summarization, University-industry collaboration, Vector-based data retrieval

Abstract

In the era of digital transformation, artificial intelligence (AI) and cloud-based technologies are
revolutionizing university-industry collaboration by enhancing data accessibility, organization, and
usability. Traditional data management approaches often suffer from inefficiencies, leading to fragmented,
underutilized datasets. This research proposes an AI-powered framework that integrates intelligent labeling,
automated dataset summarization, and vector-based retrieval to optimize dataset management. The system
efficiently categorizes and summarizes datasets by leveraging natural language processing (NLP) and
embedding models, improving research workflows and knowledge transfer.

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Published

2025-01-10

Issue

Vol. 54 No. 2 (2025): Year 2025, Volume 54, Issue 2

Section

Articles

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How to Cite

Leveraging AI for Enhanced Dataset Usability: Intelligent Summarization and Labeling for Academic-Industry Collaboration (D. J. Thaker, H. . R. Raval, & . J. . Khengar , Trans.). (2025). Cuestiones De Fisioterapia, 54(2), 3867-3877. https://doi.org/10.48047/3xjtdx63