Jesus Barrasa, Jim Webber

Building Knowledge Graphs (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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 entitiesobjects, events, situations, or abstract conceptsand 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

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: O'Reilly Media
• Seitenzahl: 290
• Erscheinungstermin: 22. Juni 2023
• Englisch
• ISBN-13: 9781098127060
• Artikelnr.: 72369198

Autorenporträt

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.