Knowledge Graphs
Fundamentals, Techniques, and Applications
$156.93
- Hardcover
504 pages
- Release Date
16 June 2021
Summary
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…
Book Details
| ISBN-13: | 9780262045094 |
|---|---|
| ISBN-10: | 0262045095 |
| Author: | Mayank Kejriwal, Craig Knoblock |
| Publisher: | MIT Press Ltd |
| Imprint: | MIT Press |
| Format: | Hardcover |
| Number of Pages: | 504 |
| Release Date: | 16 June 2021 |
| Weight: | 1.08kg |
| Dimensions: | 229mm x 178mm |
| Series: | Adaptive Computation and Machine Learning |
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About The Author
Mayank Kejriwal
Mayank 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.
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