Verwandte Artikel zu Building Knowledge Graphs: A Practitioner's Guide

Building Knowledge Graphs: A Practitioner's Guide - Softcover

Barrasa, Jesus; Webber, Jim

 
9781098127107: Building Knowledge Graphs: A Practitioner's Guide
Softcover
ISBN 10: 1098127102 ISBN 13: 9781098127107
Verlag: O'Reilly Media, 2023

Inhaltsangabe

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

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Über die Autorinnen und Autoren

Dr. Jesus Barrasa, an expert in semantic technologies and graph databases, is head of the solutions architecture team in EMEA at Neo4j and leads the development of neosemantics (a Neo4j plugin for RDF). He cowrote Knowledge Graphs: Data in Context for Responsive Businesses (O'Reilly) and is cohost of the Going Meta live webcast.

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.

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Verlag
O'Reilly Media
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1098127102
ISBN 13 
9781098127107
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
288
Kontakt zum Hersteller
O'Reilly
https://oreilly.com

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