Building Knowledge Graphs with Neo4j: Designing Connected Data Systems for Intelligent Applications: 2 (Applied AI Automation Systems Engineering Series) - Tapa blanda

Sinopsis

Modern applications increasingly rely on structured knowledge to deliver accurate, context-aware results. Building Knowledge Graphs with Neo4j introduces a practical approach to designing and implementing graph-based systems that organize and connect data in meaningful ways.
This book guides readers through the process of creating knowledge graphs using Neo4j, one of the most widely used graph database platforms. It focuses on translating real-world information into graph structures that support efficient querying, relationship discovery, and intelligent system behavior.
Inside this book, you will learn:

1. Core concepts of graph databases and how they differ from traditional data models
2. How to design scalable and flexible knowledge graph schemas
3. Techniques for ingesting, cleaning, and connecting data
4. Querying with Cypher to extract insights and relationships
5. Integrating knowledge graphs into modern applications and AI workflows

The book emphasizes clarity and practical execution, helping readers move from conceptual understanding to working systems. Whether you are building recommendation engines, semantic search systems, or data-driven applications, the principles covered here provide a strong foundation.
By the end of this book, you will be equipped to design and implement knowledge graphs that enhance data usability, improve system intelligence, and support advanced analytical capabilities.

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