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Full Description
The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 16-18, 2024.
The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. 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 Technology
Volume V: Special Tracks
Contents
.- Emerging Technology.
.- Integrated geologic terms and dual model for Chinese geological word segmentation.
.- Random Virtual Embeddings Bootstrap High-degree Item Diffusion for Recommendation.
.- Contrastive Learning for Money Laundering Detection: Node- Subgraph-Node Method with Context Aggregation and Enhancement Strategy.
.- GCCR: GAT-Based Category-aware Course Recommendation.
.- Exploring Word Composition Knowledge In Language Usages.
.- L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation.
.- Adversarial attacks on Large Language Models.
.- Enhancing Question Embedding with Relation Chain for Multi-hop KGQA.
.- IIU: Independent Inference Units for Knowledge-based Visual Question Answering.
.- Research on Blockchain-Based Trustworthy Data Sharing and Privacy Data Protection Mechanism.
.- A Hierarchical Neural Task Scheduling Algorithm in The Operating System of Neuromorphic Computers.
.- Efficient Data Asset Right Provenance for Data Asset Trading Based on Blockchain.
.- CGCL: A Novel Collaborative Graph Contrastive Learning Network for Chinese NER.
.- Scalable attack on graph data by important nodes.
.- WaveSegNet: Wavelet Transform and Multi-Scale Focusing Network for Scrap Steel Segmentation.
.- Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning.
.- Enhancing Pet Health Record Security through RSA-Encrypted NFTs and Smart Contracts on the Blockchain.
.- A Blockchain-Based Secure ADS-B System.
.- An Emotion-Aware Human-Computer Negotiation Model Powered by Pretrained Language Model.
.- Feature Re-enhanced Meta-Contrastive Learning for Recommendation.
.- ANGCN:Adaptive Neighborhood-awareness for Recommendation.
.- The study of named entity identification in Chinese electronic medical records based on multi-tasking.
.- A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue.
.- Integrating Blockchain and RSA-Encrypted NFTs for Enhanced Digital Knowledge Management.
.- An Effective RSP Data Sampling Algorithm.
.- Rationality of Thought Improves Reasoning in Large Language Models.
.- NFTMosaic: Piecing Together Assets in a Unified Blockchain Token.
.- Global Context Enhanced Multi-Granularity Intent Networks for Session-based Recommendation.
.- Enhancing Electoral Integrity: A Comprehensive Study of Blockchain-Enabled Voting on EVM Platforms.
.- AutoLabel: Automated Textual Data Annotation Method based on Active Learning and Large Language Model.
.- KDTSS: A Blockchain-based Scheme for Knowledge Data Traceability and Secure Sharing.
.- A Joint Client-Server Watermarking Framework for Federated Learning.
.- Robust Representation Learning for Image Clustering.
