Designing Semantic Knowledge Graphs
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Designing Semantic Knowledge Graphs, Apress
A Guide to Utilizing Semantic Web Technologies for Agile Data Management
Von Michael DeBellis, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Designing Semantic Knowledge Graphs"
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.
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
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Michael DeBellis
- Artikelnummer:
- 9798868818233
- Veröffentlicht:
- 03.11.26
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