Аннотация: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.