Advances in Machine Learning Research Using Knowledge Graphs

Machine learning is an interdisciplinary field that studies how computers can learn and simulate human learning behaviour. By acquiring new knowledge, machine learning aims to reorganize existing knowledge structures to continuously improve its own performance. Machine learning was proposed in the mid-1950s, and over the next 30 years, related research in the field of machine learning continued to develop. Machine learning has interdisciplinary attributes and has been widely applied in the field of artificial intelligence. Zhang and Wang [2016] argue that the way to transform big data into more valuable knowledge is by applying machine learning techniques.