Knowledge Graphs
Fundamentals, Techniques, and Applications
By Craig A. Knoblock, Mayank Kejriwal, Pedro Szekely | Publisher: MIT Press
About the book
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.
Editions of Knowledge Graphs
- Hardcover
- ISBN 9780262045094
- EBook
- ISBN 9780262361880
- EBook
- ISBN 9780262363211
Read an Excerpt
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.
Frequently Asked Questions
What is Knowledge Graphs about?
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.
What core themes, tropes, or subjects are explored in Knowledge Graphs?
Computing and Information Technology > Computer science > Artificial intelligence (AI)
Where can I read a sample of Knowledge Graphs?
You can read an official preview of the few pages here https://www.book2look.com/book/9780262045094
Is Knowledge Graphs part of a series, and can it be read as a standalone?
Yes it is a part of series Adaptive Computation and Machine Learning series
Who is/are the Author/s of the book Knowledge Graphs?
Craig A. Knoblock, Mayank Kejriwal, Pedro Szekely
Who is the Publisher of the book Knowledge Graphs?
MIT Press
What are the ISBN numbers for the physical and digital editions?
Knowledge Graphs is available as hardcover(ISBN 9780262045094) and ebook(ISBN 9780262361880) and ebook(ISBN 9780262363211)
Where can I buy Knowledge Graphs online or support local independent bookshops?
You can buy Knowledge Graphs from below
Where can I buy Knowledge Graphs?