Leveraging Knowledge Graph to Design the Machine-Learning Engineering Body-of-Knowledge

A body of knowledge (BoK) is the complete set of concepts, terms, standards and activities promoting abroad awareness of a field or profession to guide practice or work. This paper presents how knowledge-based artificial intelligence (a.k.a. symbolic AI) could be used to build a body of knowledge (BoK) by first identifying relevant documents and data to capture concepts, standards, best practices, and state-of-the-art; then fusing all knowledge items into a knowledge graph, and finally providing query capacities. The overall process of knowledge collection, storage, and retrieval is implemented to support a trustworthy Machine Learning end-to-end engineering methodology, through the Confiance.ai BoK.