Knowledge Graph and Semantic Web Technology based XAI

This book presents a semantic-based explainable framework based on knowledge graph and semantic web technology focusing on designing XAI system that transforms black-box AI model into a comprehensive and meaningful AI model for users. Researchers, students and professionals working in computer science will find this book useful.

The transformative impact of emerging technologies such as AI, blockchain, and machine learning on industries and societies, particularly in Africa, can drive sustainable development, improve governance, and address global challenges like climate change, economic inequality, and data privacy. Knowledge Graph and Semantic Web Technology based XAI offers readers a comprehensive study of these developments. Through real-world examples and practical insights, it demonstrates how AI and blockchain can solve pressing issues in such sectors as education, agriculture, and finance. This book emphasizes the potential of these technologies in fostering economic growth, improving transparency, and advancing social development in Africa.

• Explores AI, blockchain, and machine learning in the context of Africa’s development
• Highlights the role of emerging technologies in addressing global challenges
• Discusses the applications of these technologies in various sectors
• Provides practical examples and real‑world insights
• Examines the risks, including cybersecurity and data privacy
• Offers a balanced combination of technical depth and accessibility

Knowledge Graph and Semantic Web Technology based XAI is for scholars, professionals, and policymakers interested in the role of emerging technologies in sustainable development, especially in Africa.

Contributor: T. Poongodi (Edited by), Runumi Devi (Edited by), S. Prakash (Edited by), T. Ganesh Kumar (Edited by)

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