Umfang:
1 Online-Ressource (159 Seiten)
ISBN:
9783031019166
Serie:
Synthesis Lectures on Data, Semantics, and Knowledge Series
Anmerkung:
Description based on publisher supplied metadata and other sources
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Cover -- Copyright Page -- Title Page -- Dedication -- Contents -- Preface -- Foreword by an Anonymous CDO -- Foreword by Tom Plasterer -- Acknowledgments -- Disclaimer -- 1 Introduction -- 1.1 What is the Problem? -- 1.1.1 Spreadsheet Approach -- 1.1.2 Query Approach -- 1.1.3 Data Warehouse Approach -- 1.1.4 Data Lake Approach -- 1.1.5 Data Wrangling Approach -- 1.1.6 So What? -- 1.2 Knowledge Graphs -- 1.2.1 What is a Knowledge Graph? -- 1.2.2 Why Knowledge Graphs? -- 1.2.3 Why Now? -- 1.3 Background -- 1.3.1 History of Knowledge Graphs -- 1.3.2 Semantics -- 1.3.3 Semantic Web -- 1.3.4 Models, Ontologies, and Schemata -- 1.4 Why This Book? -- 2 Designing Enterprise Knowledge Graphs -- 2.1 Source: Relational Databases -- 2.2 Target: Knowledge Graph -- 2.2.1 RDF Graph -- 2.2.2 Property Graph -- 2.2.3 Knowledge Graph Schema -- 2.2.4 An Abstract Graph Notation Used in This Book -- 2.2.5 Graph Query Languages -- 2.2.6 Identifiers -- 2.2.7 Modeling -- 2.3 Mappings: Relational Database to Knowledge Graph -- 2.3.1 Direct Mapping -- 2.3.2 Custom Mapping -- 2.3.3 Mapping Languages -- 3 Mapping Design Patterns -- 3.1 Direct Custom Mapping Patterns -- 3.1.1 Direct Concept -- 3.1.2 Direct Concept Attribute -- 3.1.3 Direct Relationship -- 3.1.4 Direct Relationship Attribute -- 3.2 Complex Custom Concept Mapping Patterns -- 3.2.1 Complex Concept: Conditions -- 3.2.2 Complex Concept: Data as a Concept -- 3.2.3 Complex Concept: Join -- 3.2.4 Complex Concept: Distinct -- 3.3 Complex Custom Attribute Mapping Patterns -- 3.3.1 Complex Concept Attribute: CONCAT -- 3.3.2 Complex Concept Attribute: Math -- 3.3.3 Complex Concept Attribute: CASE -- 3.3.4 Complex Concept Attribute: NULL -- 3.3.5 Complex Concept Attribute: JOIN -- 3.3.6 Complex Concept Attribute: LEFT JOIN -- 3.3.7 Complex Concept Attribute: Duplicate -- 3.3.8 Complex Concept Attribute: Constant Table
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3.3.9 Complex Concept Attribute: Constant Attribute -- 3.3.10 Complex Concept Attribute: Constant Value -- 3.3.11 Complex Concept Attribute: EAV -- 3.4 Complex Custom Relationship Mapping Patterns -- 3.4.1 Relationship: Many to Many -- 3.4.2 Relationship: One to Many without Duplicates -- 3.4.3 Relationship: One to Many with Duplicates -- 3.4.4 Relationship: One to One with Duplicates -- 3.4.5 Relationship: Constant Table -- 3.4.6 Relationship: Constant Attribute -- 3.4.7 Relationship: Constant Value -- 3.4.8 Relationship: Bidrectional -- 4 Building Enterprise Knowledge Graphs -- 4.1 People -- 4.1.1 Data Producers and Consumers -- 4.1.2 Data Product Manager -- 4.2 Process -- 4.2.1 Phase 1: Knowledge Capture -- 4.2.2 Phase 2: Knowledge Implementation -- 4.2.3 Phase 3: Knowledge Access -- 4.2.4 An E-Commerce Use Case -- 4.3 Tools -- 4.3.1 Metadata Management -- 4.3.2 Knowledge Management -- 4.3.3 Data Management -- 4.3.4 Additional Tools -- 5 What's Next? -- 5.1 Couldn't I Have Done This with a Relational Database? -- 5.2 Isn't this Just Master Data Management? -- 5.3 Knowledge Graphs and AI -- 5.3.1 Symbolic Reasoning -- 5.3.2 Non-Symbolic Reasoning -- 6 Conclusions -- 6.1 It's All a Graph! -- 6.2 Mapping Patterns -- 6.3 You Need a Data Team -- 6.4 Be Agile, Start Small, Don't Boil the Ocean -- Bibliography -- Authors' Biographies
Weitere Ausg.:
Erscheint auch als Druck-Ausgabe Sequeda, Juan Designing and Building Enterprise Knowledge Graphs Cham : Springer International Publishing AG,c2021 ISBN 9783031007880
Sprache:
Englisch
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