Description: A 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.
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EAN: 9780262045094
UPC: 9780262045094
ISBN: 9780262045094
MPN: N/A
Book Title: Knowledge Graphs: Fundamentals, Techniques, and Ap
Number of Pages: 568 Pages
Publication Name: Knowledge Graphs : Fundamentals, Techniques, and Applications
Language: English
Publisher: MIT Press
Publication Year: 2021
Item Height: 1.5 in
Subject: Intelligence (Ai) & Semantics, General, Data Visualization, Databases / General
Type: Textbook
Item Weight: 37.6 Oz
Subject Area: Mathematics, Computers
Author: Mayank Kejriwal, Pedro Szekely, Craig A. Knoblock
Item Length: 9.3 in
Series: Adaptive Computation and Machine Learning Ser.
Item Width: 7.3 in
Format: Hardcover
