The knowledge graph was validated for consistency and adherence to the semantic model using shape expressions (ShEx). The presented applications of this graph showcase the potential of querying interconnected datasets to derive insights and support integration with external resources such as AOP-Wiki and the NanoCommons knowledge base. One usage example given is the cross-dataset dose-response curve comparison of zinc oxide nanomaterials. The results demonstrate the successful application of semantic modeling and linked-data knowledge graphs to convert and integrate diverse nanosafety datasets, enhancing their interoperability, and promoting reuse. The developed framework advances the state of data sharing in the nanosafety community and demonstrates the potential of semantic technologies in facilitating comprehensive data analysis and novel discoveries in the field.