PDF articles metadata harvester
This work targets researchers and librarians by providing a tool for metadata extraction from PDFs, but it appears incremental as it builds on existing XMP standards without introducing major innovations.
The paper addresses the challenge of ensuring consistent metadata availability in scientific PDF articles by proposing a metadata harvester using XMP, aiming to improve metadata accessibility for internet-based journal discovery.
Scientific journals are very important in recording the finding from researchers around the world. The recent media to disseminate scientific journals is PDF. On scheme to find the scientific journals over the internet is via metadata. Metadata stores information about article summary. Embedding metadata into PDF of scientific article will grant the consistency of metadata readness. Harvesting the metadata from scientific journal is very interesting field at the moment. This paper will discuss about scientific journal metadata harvesters involving XMP.