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OverviewA rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary area within artificial intelligence. 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. Full Product DetailsAuthor: Mayank Kejriwal , Craig KnoblockPublisher: MIT Press Ltd Imprint: MIT Press ISBN: 9780262045094ISBN 10: 0262045095 Pages: 504 Publication Date: 30 March 2021 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: To order Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsReviewsAuthor InformationMayank Kejriwal is Research Assistant Professor at the University of Southern California's Viterbi School of Engineering. Craig Knoblock is Executive Director of the Information Sciences Institute at the University of Southern California, where he is also Research Professor of both Computer Science and Spatial Sciences as well as Director of the Data Science Program. Pedro Szekely is Principal Scientist and Director of the Center On Knowledge Graphs at the University of Southern California's Information Sciences Institute. Tab Content 6Author Website:Countries AvailableAll regions |