Knowledge Graph and Semantic Web Technology based XAI
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35 348 Ft
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A termék adatai:
- Kiadás sorszáma 1
- Kiadó CRC Press
- Megjelenés dátuma 2026. június 29.
- ISBN 9781032624525
- Kötéstípus Keménykötés
- Terjedelem230 oldal
- Méret 280x210 mm
- Súly 600 g
- Nyelv angol
- Illusztrációk 160 Illustrations, black & white 699
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 Africaa???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 reala???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.
TöbbTartalomjegyzék:
1. Integration of Deep Learning a??? based AI Model with Explainable AI (XAI)A? 2. Unlocking the Potential of Knowledge Graphs through Completion TechniquesA? 3. Symbolic System, Neural Network and Semantic Web Technology Integration for Deep LearningA? 4. Mathematical Tools for Knowledge RepresentationA? 5. Cognitive Computational Systems Integrating Machine Learning and Automated ReasoningA? 6. Symbolic Knowledge Representation by ANNA? 7. Knowledge Representation for Human and Machine-Centric ExplanationsA? 8. Explainable AI: Bridging the Gap between Complexity and InterpretabilityA? 9.A? Interpretability, Transparency Assessment of AI SystemsA? 10. Addressing Trustworthiness and Explainability Using Knowledge GraphA? 11. The Power of Automation: Exploring Robotic Process the Journey from Automation Theory to ImplementationA? 12. Explainable Artificial Intelligence with Open Source SoftwareA? 13. Knowledge Graph and Semantic Web Technology-based XAI Application of XAI in Different DomainsA? 14. Developing Brain-Driven Systems Using Medical Image-Based Cognitive Intelligence and Machine Learning-Reasoning
Több
