Ontologies and Knowledge Graphs

The chapter explores the concept of ontologies and their role in creating knowledge graphs, using the example of scientific literature mining. It discusses how different entities can relate to each other in various ways and how asymmetry in these relations is important for modeling embeddings. The speakers also consider the challenges of organizing a knowledge graph and the importance of efficient pipeline design and infrastructure in machine learning projects.