دانلود کتاب Knowledge Graphs

فهرست مطالب :

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