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Building Knowledge Graphs : A Practitioner's Guide, Paperback by Barrasa, Jes...

Description: Building Knowledge Graphs : A Practitioner's Guide, Paperback by Barrasa, Jesus; Webber, Jim, ISBN 1098127102, ISBN-13 9781098127107, Brand New, Free shipping in the US 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, Maya Natarajan, 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 graphExplore how graph databases serve as a foundation for knowledge graphsUnderstand how to import structured and unstructured data into your graphFollow examples to build integration-and-search knowledge graphsUnderstand what pattern detection knowledge graphs help you accomplishExplore dependency knowledge graphs through examplesUse examples of natural language knowledge graphs and chatbots

Price: 66.23 USD

Location: Jessup, Maryland

End Time: 2024-11-06T17:11:26.000Z

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Building Knowledge Graphs : A Practitioner

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 14 Days

Refund will be given as: Money Back

Book Title: Building Knowledge Graphs : A Practitioner's Guide

Number of Pages: 288 Pages

Language: English

Publication Name: Building Knowledge Graphs : a Practitioner's Guide

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Subject: Data Modeling & Design, Natural Language Processing, Data Visualization, Data Processing

Item Height: 0.9 in

Item Weight: 17.9 Oz

Type: Textbook

Item Length: 9.2 in

Author: Jesus Barrasa, Jim Webber

Subject Area: Computers

Item Width: 7 in

Format: Trade Paperback

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