VIVO-based plasma knowledge graph for improving the discoverability of patent information in plasma science and technology

Patents are a vital repository of technical knowledge, yet their complexity often hinders effective utilization in scientific research. This study introduces the knowledge graph Plasma-KG for research in low-temperature plasma science. Plasma-KG is implemented using the open-source software VIVO. Via VIVO’s SPARQL API it is linked with a patent-centric knowledge graph (PKG) leveraging a semantic data model to enhance the accessibility and interconnectivity of patent information. This facilitates semantic annotation of patent texts with context-specific information, e.g. used devices, media, targets and methods. The knowledge graph-based approach supports comprehensive analysis and knowledge reuse, enabling direct links between patents and related research data and scientific literature. While tailored for plasma science and technology, the VIVO-based knowledge-graph approach exemplifies a scalable methodology for creating community-driven knowledge graphs in diverse research domains. Funding for this research is provided by the Deutsche Forschungsgemeinschaft (DFG), Project Number 496963457.