This book presents a semantic-based explainable framework based on knowledge graph and semantic web technology. It focuses on designing XAI system that transforms black-box AI model into a comprehensive and meaningful AI model that users can leverage. Stack of technologies categorized under semantic web technologies is covered for the semantic explanation framework. It discussed ontology using OWL for capturing concepts and the relationship amongst concepts in the domain of discourse. Knowledge graph using Linked Open data (LOD) technology is covered for integrating formalized knowledge. The book also includes First Order Logic (FOL)-mathematical tool, as the foundation of knowledge representation and reasoning.

• Explain ability challenges of the existing deep learning-based AI model also termed as black box model, will be possible to be addressed by the implementation of the innovative technology.

• Enables to design of higher-level intelligence compared to the current AI system supports and thus revolutionises the entire automation domain.

• Assists AI professionals to get an insight into mathematical tools such as First Order Logic (FOL) and Description Logic(DL) for explicit knowledge representation.

• Helps to formalise knowledge required for machine intelligence using semantic web technologies

• Studies implications of XAI intelligent system developed for medical diagnosis, Fraud detection, Autonomous vehicles, hiring decisions, Legal decisions etc. for making decisions.

Researchers, students and professionals working on Computational Intelligence, Machine Learning, and Artificial Intelligence in the fields of computer science, computer engineering and information technology will find this book useful.