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Knowledge Graphs
Fundamentals, Techniques, and Applications
Buch von Mayank Kejriwal (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor
Mayank Kejriwal, Craig A. Knoblock, and Pedro Szekely
Details
Erscheinungsjahr: 2021
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Adaptive Computation and Machine Learning series
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780262045094
ISBN-10: 0262045095
Sprache: Englisch
Einband: Gebunden
Autor: Kejriwal, Mayank
Knoblock, Craig A.
Szekely, Pedro
Hersteller: The MIT Press
Abbildungen: 52 B&W
Maße: 236 x 185 x 35 mm
Von/Mit: Mayank Kejriwal (u. a.)
Erscheinungsdatum: 30.03.2021
Gewicht: 1,07 kg
Artikel-ID: 119438350
Über den Autor
Mayank Kejriwal, Craig A. Knoblock, and Pedro Szekely
Details
Erscheinungsjahr: 2021
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Buch
Reihe: Adaptive Computation and Machine Learning series
Inhalt: Einband - fest (Hardcover)
ISBN-13: 9780262045094
ISBN-10: 0262045095
Sprache: Englisch
Einband: Gebunden
Autor: Kejriwal, Mayank
Knoblock, Craig A.
Szekely, Pedro
Hersteller: The MIT Press
Abbildungen: 52 B&W
Maße: 236 x 185 x 35 mm
Von/Mit: Mayank Kejriwal (u. a.)
Erscheinungsdatum: 30.03.2021
Gewicht: 1,07 kg
Artikel-ID: 119438350
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