15. A method, comprising: receiving, by a device, training data and an ontology for the training data, the training data including information associated with a subject of the ontology, and the ontology including: classes, and properties; generating, by the device, a knowledge graph based on the training data and the ontology; converting, by the device, the knowledge graph into knowledge graph embeddings, the knowledge graph embeddings including points in a k-dimensional metric space; receiving, by the device, additional ontology information; identifying, by the device, a new entity in the additional ontology information that is not present in the knowledge graph embeddings; generating, by the device, revised knowledge graph embeddings that include a new embedding for the new entity based on: a first average quantity of entities that are related to the knowledge graph and the new entity, and a second average quantity of entities that are related to the new entity and are not related to the knowledge graph; and utilizing, by the device, the revised knowledge graph embeddings to perform an action.
15. A method, comprising: receiving, by a device, training data and an ontology for the training data, the training data including information associated with a subject of the ontology, and the ontology including: classes, and properties; generating, by the device, a knowledge graph based on the training data and the ontology; converting, by the device, the knowledge graph into knowledge graph embeddings, the knowledge graph embeddings including points in a k-dimensional metric space; receiving, by the device, additional ontology information; identifying, by the device, a new entity in the additional ontology information that is not present in the knowledge graph embeddings; generating, by the device, revised knowledge graph embeddings that include a new embedding for the new entity based on: a first average quantity of entities that are related to the knowledge graph and the new entity, and a second average quantity of entities that are related to the new entity and are not related to the knowledge graph; and utilizing, by the device, the revised knowledge graph embeddings to perform an action. 18. The method of claim 15 , further comprising: approximating the new embedding for the new entity based on a weight; and where generating the revised knowledge graph embeddings comprises: generating the revised knowledge graph embeddings based on approximating the new embedding for the new entity.