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INTELLIGENT SEMANTIC WEB: The Knowledge Layer - Optimized Retrieval, Fuzzy Reasoning, and Encrypted Privacy for the LLM Era.The web has evolved from documents into vast knowledge graphs powering AI assistants, healthcare systems, and enterprise intelligence. But two fundamental challenges remain: retrieving answers fast, and keeping sensitive data safe.This book presents six original algorithms addressing both. For retrieval, it delivers bio-inspired Grey Wolf query optimization, statistics-based feature minimization, fuzzy graph search with Dynamic Backjumping, and proximity-guided Ant Colony ranking. For privacy, it introduces adversarial Deep Belief Network classification for medical data and Attribute-Based Encryption for fine-grained access over encrypted knowledge graphs.Every algorithm connects to the 2026 AI landscape - RAG pipelines, GraphRAG, neuro-symbolic AI, federated learning, and zero-trust security - with 40+ Research Direction sections mapping the open frontier.Essential reading for AI researchers, knowledge system architects, and graduate students building the next generation of intelligent, trustworthy systems.