PDFDataExtractor: A Tool for Reading Scientific Text and Interpreting Metadata from the Typeset Literature in the Portable Document Format.

ABSTRACT: The layout of portable document format (PDF) files is constant to any screen, and the metadata therein are latent, compared to mark-up languages such as HTML and XML. No semantic tags are usually provided, and a PDF file is not designed to be edited or its data interpreted by software. However, data held in PDF files need to be extracted in order to comply with open-source data requirements that are now government-regulated. In the chemical domain, related chemical and property data also need to be found, and their correlations need to be exploited to enable data science in areas such as data-driven materials discovery. Such relationships may be realized using text-mining software such as the "chemistry-aware" natural-language-processing tool, ChemDataExtractor; however, this tool has limi

SUBMITTER: Zhu M 

PROVIDER: S-EPMC9049592 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature