Knowledge Graph and Semantic Web Technology based XAI
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24 838 Ft (23 655 Ft + 5% áfa)
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22 354 Ft
Beszerezhetőség
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A termék adatai:
- Kiadás sorszáma 1
- Kiadó Chapman and Hall
- Megjelenés dátuma 2026. június 23.
- ISBN 9781032626819
- Kötéstípus Puhakötés
- Terjedelem242 oldal
- Méret 280x210 mm
- Nyelv angol
- Illusztrációk 80 Illustrations, black & white; 34 Halftones, black & white; 46 Line drawings, black & white; 5 Tables, black & white 700
Kategóriák
Rövid leírás:
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.
TöbbHosszú leírás:
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.
Több
Tartalomjegyzék:
1. Integration of Deep Learning – based AI Model with Explainable AI (XAI) 2. Unlocking the Potential of Knowledge Graphs through Completion Techniques 3. Symbolic System, Neural Network and Semantic Web Technology Integration for Deep Learning 4. Mathematical Tools for Knowledge Representation 5. Cognitive Computational Systems Integrating Machine Learning and Automated Reasoning 6. Symbolic Knowledge Representation by ANN 7. Knowledge Representation for Human and Machine-Centric Explanations 8. Explainable AI: Bridging the Gap between Complexity and Interpretability 9. Interpretability, Transparency Assessment of AI Systems 10. Addressing Trustworthiness and Explainability Using Knowledge Graph 11. The Power of Automation: Exploring Robotic Process the Journey from Automation Theory to Implementation 12. Explainable Artificial Intelligence with Open Source Software 13. Knowledge Graph and Semantic Web Technology-based XAI Application of XAI in Different Domains 14. Developing Brain-Driven Systems Using Medical Image-Based Cognitive Intelligence and Machine Learning-Reasoning
Több
