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Building Knowledge Graphs: A Practitioner's Guide by Barrasa, Jesus [Paperback]

Description: 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 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

Price: 67.28 USD

Location: East Hanover, New Jersey

End Time: 2024-12-02T06:53:22.000Z

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Building Knowledge Graphs: A PractitionerBuilding Knowledge Graphs: A Practitioner

Item Specifics

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 60 Days

Refund will be given as: Money Back

Return policy details:

EAN: 9781098127107

UPC: 9781098127107

ISBN: 9781098127107

MPN: N/A

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

Number of Pages: 288 Pages

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

Language: English

Publisher: O'reilly Media, Incorporated

Item Height: 0.9 in

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

Publication Year: 2023

Type: Textbook

Item Weight: 17.9 Oz

Subject Area: Computers

Author: Jesus Barrasa, Jim Webber

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback

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