Hajimete no chishiki gurafu kōchiku gaido

• Verfasst von: Barrasa, Jesus [VerfasserIn]
• Verfasst von: Webber, James [VerfasserIn]
• Titel: Hajimete no chishiki gurafu kōchiku gaido
• Titel: はじめての知識グラフ構築ガイド
• Mitwirkende: Sakurai, Ryōsuke [ÜbersetzerIn]
• Mitwirkende: Yasui, Yūichirō [ÜbersetzerIn]
• Werktitel: Building knowledge graphs
• Paralleltitel: Building knowledge graphs :
• Verf.angabe: Jesús Barrasa, Jim Webber cho ; Sakurai Ryōsuke, Yasui Yūichirō kan'yaku = Building knowledge graphs : a practitioner's guide / Jesús Barrasa, Jim Webber
• Verf.angabe: Jesús Barrasa, Jim Webber著 ; 桜井亮佑訳 ; 安井雄一郎監訳 = Building knowledge graphs : a practitioner's guide / Jesús Barrasa, Jim Webber.
• Ausgabe: Shohan, Denshiban.
• Ausgabe: 初版, 電子版
• Verlagsort: Tōkyō-to Chiyoda-ku
• Verlagsort: 東京都千代田区
• Verlag: Mainabi
• Verlag: マイナビ
• Jahr: 2024
• Jahr: 2024
• Umfang: 1 online resource (288 pages)
• Weitere Titel: 知識グラフ構築ガイド
• Fussnoten: Includes index
• Schrift/Sprache: In Japanese.
• ISBN: 978-4-8399-8477-9
• ISBN: 4-8399-8477-8
• Datenträger: Online-Ressource
• Sprache: jpn
• Sach-SW: Visualisation de l'information
• Sach-SW: Bases de données ; Gestion
• Sach-SW: Web sémantique
• Sach-SW: Intégration de données (Informatique)
• K10plus-PPN: 1907897127
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4611078418
• Lokale URL Inst.: Zum Volltext

Abstract

Incredibly useful, knowledge graphs help organizations keep track of medical research, cybersecurity threat intelligence, GDPR compliance, web user engagement, and much more. They do so by storing interlinked descriptions of entities--objects, events, situations, or abstract concepts--and encoding the underlying information. How do you create a knowledge graph? And how do you move it from theory into production? Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesús Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning. Learn the organizing principles necessary to build a knowledge graph Explore how graph databases serve as a foundation for knowledge graphs Understand how to import structured and unstructured data into your graph Follow examples to build integration-and-search knowledge graphs Learn what pattern detection knowledge graphs help you accomplish Explore dependency knowledge graphs through examples Use examples of natural language knowledge graphs and chatbots Use graph algorithms and ML to gain insight into connected data.