Mayank Kejriwal

(Author)

Knowledge Graphs: Fundamentals, Techniques, and ApplicationsHardcover, 30 March 2021

Knowledge Graphs: Fundamentals, Techniques, and Applications
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Part of Series
Adaptive Computation and Machine Learning
Print Length
568 pages
Language
English
Publisher
MIT Press
Date Published
30 Mar 2021
ISBN-10
0262045095
ISBN-13
9780262045094

Description

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.

Product Details

Authors:
Mayank KejriwalCraig A KnoblockPedro Szekely
Book Format:
Hardcover
Country of Origin:
US
Date Published:
30 March 2021
Dimensions:
23.11 x 18.29 x 3.05 cm
ISBN-10:
0262045095
ISBN-13:
9780262045094
Language:
English
Pages:
568
Publisher:
Weight:
1043.26 gm

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