Web and Big Data. APWeb-WAIM 2024 International Workshops
Description
This proceedings constitutes selected papers from the Workshops KGMA, SemiBDMA, MADM, AIEDM and STBDM which were held in conjunction with APWeb-WAIM 2024 which took place in Jinhua, China, August 30-September 1, 2024.
The 28 full papers presented were carefully reviewed and selected from 49 submissions. the five workshops accepted a total of 28 papers, marking an acceptance rate of 57.14%. Each submission has been peer-reviewed by 3-4 reviewers. The five workshops were as follows:
1. The 7th International Workshop on Knowledge Graph Management and Applications (KGMA 2024).
2. The 6th International Workshop on Semi-structured Big Data Management and Applications ( SemiBDMA 2024 ).
3. The 1st International Workshop on Mobile Applications and Data Management (MADM 2024).
4. The 1st International Workshop on Artificial Intelligence in Education and Educational Data Mining ( AIEDM 2024 ).
5. The 1st International Workshop on Spatio-Temporal Big Data Management (STBDM 2024).
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Content
.- KGMA Workshop.
.- Approximating Temporal Katz Centrality with Methods.
.- LLM for Uniform Information Extraction using Multi-task Learning Optimization.
.- ASM: Adaptive Subgraph Matching via Efficient Compression and Label Filter.
.- SemiBDMA Workshop.
.- Learning Multi-Semantic Based on Cross-Attention for Image-Text Retrieval.
.- Integrated Global Semantics and Local Details for Image-text Retrieval.
.- Adversarial Graph Convolutional Network Hashing for Cross-Modal Retrieval.
.- FS-IGA: Feature Selection Method Based on Improved Genetic Algorithm.
.- Shearlet Transform Based Multiscale Fusion Network for Image Super Resolution.
.- Application of Segmental-based Transfinite Mapping Method for Quadrilateral Mesh Generation of Complex Domain.
.- Augmenting Knowledge Tracing: Personalized Modeling by Considering Forgetting Behavior in Learning Process.
.- A Time-Aware Sequential Recommendation based on Attention Mechanism.
.- Integrating User Sentiment and Behavior for Explainable Recommendation.
.- MADM Workshop.
.- SACC: Secure-cooperative Adaptive Cruise Control for Unmanned Vehicles.
.- A Systematic Mapping Study of LLM Applications in Mobile Device Research.
.- Application Framework for OpenHarmony Distributed Trusted Execution Environment.
.- Design and Implementation of a Multi-metric Performance Analysis Tool for Android System and its Applications.
.- Towards Optimal Leakage Assessment of TVLA.
.- Joint UAV Trajectory Optimization and Task Offloading in Integrated Air-Ground Networks.
.- AIEDM Workshop.
.- Research on Ethical Issues of Classroom Dialogue in the Era of Large Language Model.
.- Adaptive Exploration: Elevating Educational Impact of Unsupervised Knowledge Graph Question Answering.
.- xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network.
.- RDNeRF: Radiance Distribution Guided NeRF for Floaters Removing.
.- Multi-User VR Content Wireless Delivery using Motion Prediction and Adaptive Multicasting.
.- MEGKT:Multi-Edge Features Enhancement for Graph-Based Knowledge Tracing.
.- STBDM Workshop.
.- Collaborative Inference for Adaptive DNN Pipeline-aware Alignment.
.- A Unified Framework for Link Prediction on Heterogeneous Temporal Graph.
.- Massive-Parallel Game of Politi.
.- Multiscale Convolutional Feature Aggregation for Finegrained Image Retrieval.