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Building Knowledge Graphs

A Practitioner's Guide

Jesus Barrasa, Jim Webber
Livre broché | Anglais
100,95 €
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Description

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 Jesus 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

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
288
Langue:
Anglais

Caractéristiques

EAN:
9781098127107
Date de parution :
01-08-23
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
175 mm x 231 mm
Poids :
498 g

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