Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, Applications and Challenges (Studies on the Semantic Web)

Title Page
Preface
Contents
Part 1. Foundations of Knowledge-Based eXplainable Systems
	Knowledge Graphs on the Web - An Overview
	Foundations of Explainable Knowledge-Enabled Systems
	Knowledge Graph Embeddings and Explainable AI
	Benchmarking the Lifecycle of Knowledge Graphs
Part 2. Applications
	Knowledge-Aware Interpretable Recommender Systems
	Differentiable Reasoning on Large Knowledge Bases and Natural Language
	Neuro-Symbolic Architectures for Context Understanding
	Knowledge Representation and Reasoning Methods to Explain Errors in Machine Learning
	Knowledge-Based Explanations for Transfer Learning
	Explanations in Predictive Analytics: Case Studies
	Generating Explanations in Natural Language from Knowledge Graphs
Part 3. Challenges for Knowledge-Based eXplainable Systems
	Directions for Explainable Knowledge-Enabled Systems
	The Data Ethics Challenges of Explainable AI and Their Knowledge-Based Solutions
	Who Is This Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI
	Managing Identity in Knowledge-Based Explainable Systems
Subject Index
Author Index