DeBellis M. - Designing Semantic Knowledge Graphs [2026, PDF/EPUB, ENG]

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Designing Semantic Knowledge Graphs

Год издания: 2026
Автор: DeBellis M.

Издательство: Apress
ISBN: 979-8-8688-1823-3
Язык: Английский

Формат: PDF/EPUB
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 518

Описание: Semantic Web technologies such as OWL, RDF/RDFS, SPARQL, and SHACL, offer powerful tools for managing data in flexible, meaningful, and scalable ways. As organizations increasingly adopt modern data architectures such as Data Mesh and Data Fabrics, Semantic Knowledge Graphs can serve as a unifying semantic layer, making data easier to integrate, validate, and utilize with explicit knowledge representation and automated reasoning.
Yet many teams hesitate to adopt these technologies, viewing them as overly complex or academic. This book aims to challenge that perception by showing how these tools can be used practically and effectively in real-world systems. From requirements to models to code, you’ll learn how Semantic Web standards can help you work with messy, evolving, real world data.
Designing Semantic Knowledge Graphs is a hands-on guide for software engineers and data professionals who want to design and build semantic models that align with modern enterprise needs and integrate with Large Language Models. All techniques are illustrated using state-of-the-art free tools. All the example ontologies, SHACL models, SPARQL queries, and Python code are available on GitHub under an open source license.
OWL is the most important language when defining the conceptual model. SHACL serves that role for the design model. Implementation is when we need to select one or more programming languages. Python is widely used for data science and Semantic Knowledge Graphs. However, in the early days of the Semantic Web, Java was the dominant language. As a result, many foundational tools, such as Prot?g?, were built with Java. Both are excellent languages with mature development environments. Python has the advantages of being easier to learn and providing broader coverage through an enormous ecosystem of libraries. While Java supports modular reuse through packages and Maven repositories, Python’s pip package manager makes reuse particularly effortless. Python and Java both offer mature libraries for accessing Semantic Knowledge Graphs. This book focuses primarily on Python.
You Will:
- See how Semantic Web standards such as OWL, RDF, SPARQL, SHACL, and SWRL enable modern data architectures such as Data Mesh and Data Fabrics
- Model domains in ways that balance top-down conceptual structure with bottom-up data realities
- Develop strategies for data ingestion, transformation, and validation at scale
- Integrate knowledge graphs with Large Language Models and automated reasoning tools
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