The papers are organized in the following topical sections:Volume I: Knowledge Science with Learning and AI (KSLA)Volume II: Knowledge Engineering Research and Applications (KERA)Volume III: Knowledge Management with Optimization and Security (KMOS)Volume IV: Emerging TechnologyVolume V: Special Tracks

.- Knowledge Science with Learning and AI (KSLA). .- A Deep Correlation Feature Extraction Network: Intelligent Description of Bearing Fault Knowledge for Zero-Sample Learning. .- Elastic Filter Prune in Deep Neural Networks using Modified Weighted Hybrid Criterion. .- EE LCE: An Event Extraction Framework Based on LLM Generated CoT Explanation. .- Attention and Learning Features enhanced Knowledge Tracing. .- An MLM Decoding Space Enhancement for Legal Document Proofreading. .- Meta Pruning: learning to prune on few shot learning. .- Knowledge informed Molecular Learning: A Survey on Paradigm Transfer. .-GenFlowchart: Parsing and Understanding Flowchart Using Generative AI. .- DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnification. .- Programming Knowledge Tracing with Context and Structure Integration. .- An Konwledge-Based Semi-supervised Active Learning Method for Precision Pest Disease Diagnostic. .- Multi-Label Feature Selection with Adaptive Subspace Learning. .- User Story Classification with Machine Learning and LLMs. .- PTMA: Pre-trained Model Adaptation for Transfer Learning. .- Optimization Strategies for Knowledge Graph Based Distractor Generation. .- Reinforced Subject-aware Graph Neural Network for Related Work Generation. .- EFCC IeT: Cross-modal Electronic File Content Correlation via Image-enhanced Text. .- Multi relation Neural Network Recommendation Model Based on Knowledge Graph Embedding Algorithm. .- Link prediction based on deep global information in heterogeneous graph. .- Subject Knowledge Entity Relationship Extraction Based on Multi-Feature Fusion and Relation Specific Horns Tagging. .- A Human Computer Negotiation Model Based on Q-Learning. .- Affine Transformation-Based Knowledge Graph Embedding. .- Integrating Prior Scenario Knowledge for Composition Review Generation. .- Distant supervised relation extraction on pre-train model with improved multi-label attention mechanism. .- sEMG-based Multi-View Feature-Constrained Representation Learning. .- Vicinal Data Augmentation for Classification Model via Feature Weaken. .- STM an Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm. .- Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction. .- Automatic Meter Pointer Reading Based on Knowledge Distillation. .- Multi-Table Question Answering Method Based on Correlation Evaluation and Precomputed Cube. .- A Joint Multi-task Learning Model for Web Table-to-Knowledge Graph Matching. .-  An In Context Schema Understanding Method for Knowledge Base Question Answering. .- Performance Enhancement Strategies for Node Classification Based on Graph Community Structure Recognition.

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