Deepvoc: a linked open vocabulary for reproducible and reliable deep learning experiments
Shaheen L. Tubaishat A. Shah B. Mussiraliyeva S. Maqbool F. Razzaq S. Anwar S.
November 2025Springer Science and Business Media Deutschland GmbH
International Journal of Machine Learning and Cybernetics
2025#16Issue 118755 - 8767 pp.
Several Deep Learning (DL) algorithms and techniques have been developed and published in recent years to address problems across various domains. To ensure accurate result comparisons, DL experiments must be conducted in a consistent computing environment using the same algorithm configurations and datasets. Developing DL algorithms requires programmers to manage numerous parameter settings and datasets, making it challenging to test and document results accurately without proper metadata provenance. However, the connected data community lacks a lightweight metadata exchange framework for DL across different environments, limiting high-level interoperability. This article bridges that gap by introducing DeepVoc (Deep Learning Vocabulary) a structured vocabulary designed to enhance data provenance and improve the usability of DL experiments. Moreover, DeepVoc adheres to the Findable, Accessible, Interoperable, and Reusable (FAIR) principles, ensuring better metadata standardization while enhancing the reproducibility, reusability, and interoperability of DL experiments.
Deep learning , Experiments , FAIR , Interoperability , Metadata , Reusability
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Department of Computer Science, University of Sargodha, Sargodha, Pakistan
College of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates
Department of Information System, Al-Farabi Kazakh National University, Almaty, Kazakhstan
School of Computer Science and Information Technology, Institute of Management Sciences, Peshawar, Pakistan
Department of Computer Science
College of Technological Innovation
Department of Information System
School of Computer Science and Information Technology
10 лет помогаем публиковать статьи Международный издатель
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