With Scientific Knowledge Graph TeX (SciKGTeX), NFDI4ING has developed an innovative tool that brings scientific publications into the digital age. The LaTeX package enables authors to enrich their research articles directly within the source code by adding structured, machine-readable, and FAIR information. This metadata is embedded in the PDF using the XMP standard, ensuring it remains permanently attached to the document.
SciKGTeX provides substantial added value to the research infrastructure: publications become not only readable for humans but also interpretable by machines. Search engines, recommender systems, and research information systems can automatically process the enriched content and integrate it into knowledge graphs, such as the Open Research Knowledge Graph (ORKG). In doing so, SciKGTeX makes a tangible contribution to enhancing the discoverability, reusability, and long-term digital preservation of scientific knowledge.
SciKGTeX is already seeing broad adoption. The ORKG offers a dedicated upload feature for SciKGTeX-annotated PDFs, enabling seamless integration into knowledge graphs. The journal ing.grid has incorporated the package directly into its LaTeX template. In addition, several leading international conferences, including the IEEE International Requirements Engineering Conference (RE), the REFSQ International Working Conference on Requirements Engineering, and the International Conference on Software Architecture (ICSA), promote and use SciKGTeX within their Open Science initiatives and challenges.
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