Knowledge Graph Mastery: Building Smarter AI with Graph Reasoning and Semantic Models - Couverture souple

Huie, Gilbert

 
9798315361312: Knowledge Graph Mastery: Building Smarter AI with Graph Reasoning and Semantic Models
Couverture souple
ISBN 13 : 9798315361312
Editeur : Independently published, 2025

Synopsis

Artificial intelligence is evolving—and so should the way we build it.

In a world driven by data, intelligence comes not just from the volume of information, but from the connections we can make between concepts. Knowledge graphs are at the forefront of this evolution, powering smarter AI systems that understand, reason, and adapt. From enterprise search to recommendation engines, from fraud detection to AI assistants, knowledge graphs enable machines to move from pattern recognition to true contextual understanding.

Knowledge Graph Mastery is the definitive guide for building intelligent, scalable AI systems grounded in structured, semantic knowledge. Whether you're a software developer, AI engineer, data scientist, architect, or researcher, this book equips you with the tools, concepts, and real-world examples you need to master the design and deployment of modern knowledge-driven applications.

This comprehensive, practical book takes you from foundational principles to advanced graph reasoning techniques. You’ll explore how to structure and interlink information, model domain-specific ontologies, query complex graphs efficiently, and integrate them with machine learning workflows.

Inside, you’ll learn how to:

  • Understand graph theory and graph thinking as a foundation for AI
  • Design semantic models using RDF, OWL, SHACL, and linked data principles
  • Build and query scalable knowledge graphs using SPARQL, Cypher, and Gremlin
  • Implement entity resolution, data enrichment, and graph-based ETL pipelines
  • Apply graph reasoning, inference, and logic to build explainable AI systems
  • Leverage knowledge graphs in real-world AI solutions—from chatbots and digital twins to recommendation systems, fraud detection, and multimodal reasoning
  • Choose the right graph database technology for your use case (Neo4j, Amazon Neptune, ArangoDB, etc.)
  • Integrate knowledge graphs with machine learning models using graph embeddings and hybrid AI techniques

This book doesn’t just teach you what knowledge graphs are—it shows you how to make them work in production environments, across sectors, at scale.

Whether you're architecting intelligent search, powering enterprise knowledge hubs, or enabling human-like reasoning in machines, Knowledge Graph Mastery is your blueprint for designing AI that knows what it’s doing.

Don’t just build AI that reacts—build AI that understands.
Master knowledge graphs. Design smarter systems.
Start now.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798315361312
Reliure
Broché
Nombre de pages
202
Coordonnées du fabricant
Manufactured by Amazon on behalf of the author
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