Knowledge Graphs

Foreword
1. Introduction
	What Are Graphs?
	The Motivation for Knowledge Graphs
	Knowledge Graphs: A Definition
2. Building Knowledge Graphs
	Organizing Principles of a Knowledge Graph
		Plain Old Graphs
		Richer Graph Models
		Knowledge Graph Using Taxonomies for Hierarchy
		Knowledge Graph Using Ontologies for Multilevel Relationships
	Which Is the Best Organizing Principle for Your Knowledge Graph?
	Organizing Principles: Standards Versus Custom
	Essential Capabilities of a Knowledge Graph
3. Data Management for Actionable Knowledge
	Relationships and Metadata Make Knowledge Actionable
	The Actioning Knowledge Graph
	The Data Fabric Architecture
	Metadata Management
	Popular Use Cases for Actioning Knowledge Graphs
	Increased Trust and Radical Visibility
4. Data Processing for Driving Decisions
	Data Discovery and Exploration
	The Predictive Power of Relationships
	The Decisioning Knowledge Graph
	Graph Queries
	Graph Algorithms
	Graph Embeddings
	ML Workflows for Graphs
	Graph Visualization
	Decisioning Knowledge Graph Use Cases
	Boston Scientific’s Decisioning Graph
	Better Predictions and More Breakthroughs
5. Contextual AI
	Why AI Needs Context
	Data Provenance and Tracking for AI Systems
	Diversifying ML Data
	Better ML Processes
	Improving AI Reasoning
	The Big Picture
6. Business Digital Twin
	Digital Twins for Secure Systems
	Digital Twin for the Win!
7. The Way Forward