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Abstract <p>The present work proposes a method for the automated processing of full-text PDF articles in the field of material science that leverages visual, tabular, and textual data extraction techniques developed by the authors to obtain standardized representations of a selection of objects, thereby increasing the efficiency of technical data utilization. An integrative software tool built upon the method is discussed. The metrics of precision (63–99%) and recall (90–99%) calculated to assess tool performance prove the applicability of the solution proposed for domain-specific data aggregation, unification, search and management, and the potential for usage in science analytics systems.</p>

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Solder Alloys Data Mining for Materials Research

  • 期刊论文

  • 发表日期：

    2026年7月20日

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  • M. O. Khvostova,
  • A. V. Abramov,
  • A. A. Artamonov

摘要

Abstract

The present work proposes a method for the automated processing of full-text PDF articles in the field of material science that leverages visual, tabular, and textual data extraction techniques developed by the authors to obtain standardized representations of a selection of objects, thereby increasing the efficiency of technical data utilization. An integrative software tool built upon the method is discussed. The metrics of precision (63–99%) and recall (90–99%) calculated to assess tool performance prove the applicability of the solution proposed for domain-specific data aggregation, unification, search and management, and the potential for usage in science analytics systems.