Practical Knowledge Graphs: A Hands-On Guide to Building Intelligent Systems with Python, SPARQL, and Neo4j

By R.C. Weston

Unlock the Power of Connected Data and Build a Real-World Recommendation Engine from Scratch
Ready to move beyond the limitations of traditional relational databases? This definitive, hands-on guide is your ticket to mastering knowledge graphs and building the intelligent, data-driven applications of the future.
This book is built around a single, comprehensive project: you will design, build, and deploy a fully functional movie recommendation engine using the world's leading graph database, Neo4j. Forget dry theory-you'll be writing code and solving real problems from the very first chapter.
Inside, you will master the entire project lifecycle:
Graph Data Modeling: Learn to think in graphs and design a robust data model for any complex domain.
Expert Cypher Queries: Go from beginner to pro with Cypher, Neo4j's powerful query language. Master everything from simple reads to advanced, multi-stage analytical queries.
Robust Data Ingestion: Build an automated ETL pipeline with Python and pandas to load and clean real-world data, handling complex nested JSON with ease.
Powerful Graph Algorithms: Leverage the Neo4j Graph Data Science (GDS) library to uncover hidden insights. Implement pathfinding, centrality (PageRank), and community detection algorithms to understand your network's structure.
Building a Recommendation Engine: Construct a sophisticated recommendation engine from the ground up, implementing and blending both content-based and collaborative filtering strategies in real-time.
API Development with Flask: Expose your recommendation engine's power to the world by building a clean, tested, and documented REST API with Flask.
Production Deployment: Learn the best practices for deploying, securing, and maintaining a production Neo4j database, whether self-hosted or in the cloud with Neo4j AuraDB.
Who is this book for?
This book is for Python developers, data engineers, software architects, and data scientists who want to gain practical, hands-on experience with graph databases. If you're ready to add one of the most in-demand skills in tech to your toolkit, this is the book for you.
Start building smarter, more connected applications today. Scroll up and grab your copy now

• Format: Paperback
• Language: English
• ISBN: B0FS6KDM4R
• ISBN13: 9798266418318
• Release Date: September 2025
• Publisher: Independently Published
• Length: 350 Pages
• Weight: 1.34 lbs.
• Dimensions: 0.7" x 7.0" x 10.0"