Incredibly useful, knowledge graphs help organizations keep track
of medical research, cybersecurity threat intelligence, GDPR
compliance, web user engagement, and much more. They do so by
saving interlinked descriptions of entities (objects, events,
situations, or abstract concepts) while encoding the semantics
underlying the terminology. How do you create a knowledge graph?
And how do you move it from theory into practice? Using hands-on
examples, this practical book shows data scientists and data
practitioners how to build their own custom knowledge graphs.
Authors Jesus Barrasa and Jim Webber from Neo4j illustrate patterns
commonly used for building knowledge graphs that solve many of
today's pressing problems. You'll quickly discover how these graphs
become exponentially more useful as you add more data. Learn the
organizing principles necessary to build a knowledge graph Explore
how graph databases serve as a foundation for knowledge graphs
Understand how to import structured and unstructured data into your
graph Follow examples to build integration-and-search knowledge
graphs Understand what pattern detection knowledge graphs help you
accomplish Explore dependency knowledge graphs through examples Use
examples of natural language knowledge graphs and chatbots
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
July 2023 |
Authors: |
Jesus Barrasa
• Jim Webber
|
Dimensions: |
232 x 178mm (L x W) |
Format: |
Paperback
|
Pages: |
350 |
ISBN-13: |
978-1-09-812710-7 |
Categories: |
Books >
Computing & IT >
General
|
LSN: |
1-09-812710-2 |
Barcode: |
9781098127107 |
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