A rigorous and comprehensive textbook covering the major approaches to
knowledge graphs, an active and interdisciplinary area within artificial
intelligence.
The field of knowledge graphs, which allows us to model, process, and
derive insights from complex real-world data, has emerged as an active
and interdisciplinary area of artificial intelligence over the last
decade, drawing on such fields as natural language processing, data
mining, and the semantic web. Current projects involve predicting
cyberattacks, recommending products, and even gleaning insights from
thousands of papers on COVID-19. This textbook offers rigorous and
comprehensive coverage of the field. It focuses systematically on the
major approaches, both those that have stood the test of time and the
latest deep learning methods.