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Designing and Building Enterprise Knowledge Graphs [electronic resource] / by Juan Sequeda, Ora Lassila.

By: Sequeda, Juan [author.].
Contributor(s): Lassila, Ora [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Data, Semantics, and Knowledge: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXIII, 142 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031019166.Subject(s): Internet programming | Ontology | Web Development | OntologyAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006.76 Online resources: Click here to access online
Contents:
Preface -- Foreword by an Anonymous CDO -- Foreword by Tom Plasterer -- Acknowledgments -- Disclaimer -- Introduction -- Designing Enterprise Knowledge Graphs -- Mapping Design Patterns -- Building Enterprise Knowledge Graphs -- What's Next? -- Conclusions -- Bibliography -- Authors' Biographies.
In: Springer Nature eBookSummary: 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.
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Preface -- Foreword by an Anonymous CDO -- Foreword by Tom Plasterer -- Acknowledgments -- Disclaimer -- Introduction -- Designing Enterprise Knowledge Graphs -- Mapping Design Patterns -- Building Enterprise Knowledge Graphs -- What's Next? -- Conclusions -- Bibliography -- Authors' Biographies.

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.

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