Rule Based Metadata Extraction Framework from Academic Articles

  • 1 July 2018
  • Paper / Report
  • Publisher : arXiv
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This article proposes a free, open-source Java-based metadata extraction framework that uses layout and rule-based methods to extract essential metadata from PDFs, including titles, abstracts, keywords, and references. It emphasizes the speed and accuracy of this framework, making it suitable for digital libraries and research databases. The article provides an in-depth review of the framework’s capabilities, highlighting its precision in extracting metadata from scientific documents. By using this framework, organizations can improve the efficiency of their metadata extraction processes, enabling better organization, retrieval, and analysis of research data.

Author(s) :

Azimjonov, J., Alikhanov, J.

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Data Science for social impact

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