We presented an approach for persistent identification of FAIR scholarly knowledge to ensure its findability in global scholarly communication infrastructures. Here, scholarly knowledge is the essential information published in scholarly articles. The main focus of our work is to make the machine-actionable scholarly knowledge in ORKG (Papers, Comparisons, Reviews) persistently referenceable, citable and findable in global scholarly communication infrastructures. As such, our work is an important towards FAIR scholarly knowledge, i.e. the FAIRification of this content. The persistent identification of scholarly artefacts should be practiced widely to enable the automatic metadata-based linking of contextual artefacts including datasets, software, instruments, scholarly articles, and workflows. These metadata-based linked artefacts can be discovered across different scholarly infrastructures, thus making access to scholarly knowledge more effective and efficient.