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Designing Semantic Knowledge Graphs: A Guide to Utilizing Semantic Web Technologies for Agile Data Management
Paperback
DatabasesGeneral ComputersProgramming
Publisher Price: $59.99
Publisher: Apress
Published: Nov 4 2026
Pages: 506
Weight: 2.02
Height: 1.08 Width: 7.00 Depth: 10.00
Language: English
Semantic Web technologies such as OWL, RDF/RDFS, SPARQL, SHACL, and SWRL offer powerful tools for managing data in more flexible, meaningful, and scalable ways. As organizations increasingly adopt modern data architectures like Data Mesh, Data Fabric, and Data Lakes, Semantic Knowledge Graphs can serve as a unifying layer--making data easier to integrate, validate, and reason over.
Designing Semantic Knowledge Graphs is a hands-on guide for software engineers, architects, and data professionals who want to design and build semantic models that align with modern enterprise needs. You'll learn how to bridge domain models with real data, create agile ontologies that evolve with your systems, and automate the transformation of existing data sources into knowledge graph form. Along the way, you'll explore ontology design patterns, leverage validation rules with SHACL, and integrate your knowledge graph with tools like LLMs and SPARQL for powerful query and reasoning capabilities.
All techniques are illustrated using state of the art tools, including Protégé and the free edition of AllegroGraph. All the book's example OWL ontologies, SHACL constraint models, SPARQL queries and updates, and Python code are available on GitHub under an open source license. All techniques are illustrated using free and widely used tools like Protégé and the community edition of AllegroGraph.
You Will:
- See how Semantic Web standards such as OWL, RDF, SPARQL, SHACL, and SWRL fit into modern data architecture
- Develop strategies for data ingestion, transformation, and validation at scale
- Create agile semantic models that support change, iteration, and evolving requirements
- Integrate knowledge graphs with Large Language Models, APIs, and SPARQL-based query and reasoning tools
This Book is For:
Developers, data scientists, software architects, and engineers who work with structured or semi-structured data and want to build smarter, more adaptable systems. This book will also be useful to product managers, analysts, and consultants seeking better insight into their organization's data strategy.
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