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Designing and building enterprise knowledge graphs / Juan Sequeda and Ora Lassila.

Springer Nature Synthesis Collection of Technology Collection 11 Available online

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Format:
Book
Author/Creator:
Sequeda, Juan, author.
Lassila, Ora, author.
Language:
English
Subjects (All):
Semantic Web.
Database management.
Physical Description:
1 online resource (159 pages) : illustrations
Place of Publication:
Cham, Switzerland : Springer, [2021]
Summary:
This book is a guide to designing and building knowledge graphs from enterprise relational databases in practice.\ It presents a principled framework centered on mapping patterns to connect relational databases with knowledge graphs, the roles within an organization responsible for the knowledge graph, and the process that combines data and people. The content of this book is applicable to knowledge graphs being built either with property graph or RDF graph technologies. Knowledge graphs are fulfilling the vision of creating intelligent systems that integrate knowledge and data at large scale. Tech giants have adopted knowledge graphs for the foundation of next-generation enterprise data and metadata management, search, recommendation, analytics, intelligent agents, and more. We are now observing an increasing number of enterprises that seek to adopt knowledge graphs to develop a competitive edge. In order for enterprises to design and build knowledge graphs, they need to understand the critical data stored in relational databases. How can enterprises successfully adopt knowledge graphs to integrate data and knowledge, without boiling the ocean? This book provides the answers.
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
9783031019166
3031019164

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