Building Knowledge Graphs: A Practitioner's Guide

by Jesús Barrasa

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.

Genres: Programming, Computer Science

288 pages, Paperback

Published August 1, 2023

Reviews

[Matt Chequers · Rating 4 out of 5]

3.5

[Jorge Abreu Vicente · Rating 2 out of 5]

Not that much knowledge to be taken. More of a book to push you to use neo4j than anything else.

If you look for a fast read to have ideas on how knowledge graphs can help your team or business, the book is ok. If you actually look to become a practicioner or to learn graph theory, there are better options.

So short, good for business people.

[Benjamin Hu · Rating 4 out of 5]

The book presents informative ideas such as incremental development approach to & versionable attitude toward artifacts, & also illustrate various use cases of knowledge graph through using abstractions of AI or data science algorithm

[Lucille Nguyen · Rating 3 out of 5]

General overview of knowledge graphs. Reads like an advertisement for Neo4j.