Knowledge Graphs

Description

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