Abstract: Various embodiments of the present disclosure facilitate clinical data semantic interoperability using machine learning. In one example, an embodiment provides for extracting one or more medical concepts from clinical data based at least in part on a natural language processing technique, identifying corresponding clinical context for a first medical concept and a second medical concept in the clinical data by analyzing one or more medical ontologies based at least in part on an ontology traversal technique associated with a neural network, generating a score for a relationship between the first medical concept and the second medical concept based at least in part on one or more rules with respect to coded entries of the clinical data and the one or more medical ontologies associated with the ontology traversal technique, and performing one or more actions associated with the clinical data based at least in part on the score.