In a previous work of the authors , semantic web technologies were explored as a way to integrate manually curated data from the literature about nanomaterial physicochemical characteristics and adverse outcome pathways (AOP) key events into an RDF knowledge graph. A specific semantic model capturing the curated data points was created as a proof-of-concept of the semantic integration of such data. SPARQL queries were applied to explore, visualize and extract insights from the knowledge graph. Moreover, federated querying was used to interoperate with an external semantic resource (AOP-Wiki ) served over a SPARQL endpoint. The work reported a successful integration and the methodology was deemed suitable for nanosafety data integration and valuable for making data more FAIR.