Building Knowledge Graphs : A Practitioner's Guide
Language: English
Published by O'reilly Media Aug 2023, 2023
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - 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 storing interlinked descriptions of entities--objects, events, situations, or abstract concepts--and encoding the underlying information. How do you create a knowledge graph And how do you move it from theory into production Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesús Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning. - 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 - Learn what pattern detection knowledge graphs help you accomplish - Explore dependency knowledge graphs through examples - Use examples of natural language knowledge graphs and chatbots - Use graph algorithms and ML to gain insight into connected data.…
Seller Inventory # 9781098127107
- Title
- Building Knowledge Graphs : A Practitioner's Guide
- Author
- Jesús Barrasa
- Publisher
- O'reilly Media Aug 2023
- Publication year
- 2023
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1098127102
- ISBN 13
- 9781098127107
- Item weight
- 474 grams
- Dimensions
- 230x179x15 mm
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 storing interlinked descriptions of entities--objects, events, situations, or abstract concepts---and encoding the underlying information. How do you create a knowledge graph? And how do you move it from theory into production?
Using hands-on examples, this practical book shows data scientists and data engineers how to build their own knowledge graphs. Authors Jesus Barrasa and Jim Webber from Neo4j illustrate common patterns for building knowledge graphs that solve many of today's pressing knowledge management problems. You'll quickly discover how these graphs become increasingly useful as you add data and augment them with algorithms and machine learning.
- 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
- Learn what pattern detection knowledge graphs help you accomplish
- Explore dependency knowledge graphs through examples
- Use examples of natural language knowledge graphs and chatbots
- Use graph algorithms and ML to gain insight into connected data
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Jim Webber is chief scientist at Neo4j, where he works on fault-tolerant graph databases. He coauthored Graph Databases for Dummies (Wiley) and Graph Databases and Knowledge Graphs: Data in Context for Responsive Businesses, both for O'Reilly. He's also a visiting professor at Newcastle University, UK.
"About the title" may belong to another edition of this title.
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