Patents4Science – Development of an Information Infrastructure for the Use of Patent Knowledge in Science (P4SI)

Patents encapsulate a significant portion of humanity's technical knowledge, presenting invaluable insights into innovative solutions, key substances, methods, and processes that can address pressing scientific and technological queries. Despite their potential, research indicates that this treasure trove of information goes largely untapped in scientific contexts, primarily due to scientists' challenges in navigating complex patent structures and a lack of proper analytical tools. The existing solutions provide limited access and fail to incorporate semantic descriptions, hindering connections between patent data and scientific literature. To tackle these challenges, we are developing the Patents4Science-Information Infrastructure (P4SI), aimed at creating an intuitive and sustainable pathway to patent knowledge. By employing automatic data analysis and semantic linking with extensive knowledge bases, our project semantically enriches, indexes, and interconnects patent content with scientific literature, culminating in the creation of a patent-centric knowledge graph. Aligned with the Linked Open Data (LOD) and FAIR data principles, our innovative framework does not only broaden the scope of knowledge in the sciences but will also expand to include other research domains and collaborate with key initiatives like NFDI, GAIA-X, and EOSC in the future.

Funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG), project number 496963457, https://gepris.dfg.de/gepris/projekt/496963457.

Partners: FIZ Karlsruhe – Leibniz Institute for Information Infrastructure; Leibniz-Institut für Werkstofforientierte Technologien – IWT; INM – Leibniz-Institute for New Materials gGmbH