Towards Loosely-Coupling Knowledge Graph Embeddings and Ontology-based Reasoning. (arXiv:2202.03173v2 [cs.AI] UPDATED)

Knowledge graph completion (a.k.a.~link prediction), i.e.,~the task of
inferring missing information from knowledge graphs, is a widely used task in
many applications, such as product recommendation and question answering. The
state-of-the-art approaches of knowledge graph embeddings and/or rule mining
and reasoning are data-driven and, thus, solely based on the information the
input knowledge graph contains. This leads to unsatisfactory prediction results
which make such solutions inapplicable to crucial domains such as healthcare.
To further enhance the accuracy of knowledge graph …

ai arxiv graph knowledge knowledge graph ontology reasoning