Web and Big Data. APWeb-WAIM 2026 International Workshops

10th Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) International Joint Conference on Web and Big Data, APWeb-WAIM 2026, Danang, Vietnam, September 7-9, 2026, Proceedings
Erscheinungsjahr 2026
ISBN: 978-981-9266-20-3
Verlag: Springer

Buch, Englisch, 268 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g

Reihe: Communications in Computer and Information Science

This volume constitute the proceedings of the Workshops which were held in conjunction with 10th Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint Conference on Web and Big Data, APWeb-WAIM 2026, held in Danang, Vietnam, during September 7–9, 2026.

The 20 full papers presented in these proceedings were carefully reviewed and selected from 40 submissions to 3 international workshops:

· 9th International Workshop on Knowledge Graph Management and Applications (KGMA), organized by Meng Wang and Xin Wang.

· 8th International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA), organized by Linlin Ding.

· 1st International Workshop on Natural Resources Survey, Monitoring, and Assessment in the Big Data Era (NRSMA), organized by Xiaohui Huang, Yuewei Wang, Xiaodao Chen, Wei Han, Fan Lei, Yunliang Chen, Jianxin Li, and Lizhe Wang.

Zielgruppe

Research

Autoren/Hrsg.

Li, Jiajia

Ding, Lingling

Manolopoulos, Yannis

Bou-chaaya, Karam

Chbeir, Richard

Tuan, Tran Ngoc

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

.- Session: Workshop NRSMA
.- A Relearning-based Framework for Fine Crop Classification and UAV Agricultural Landscape Monitoring.
.- AgriFlow: Translating Natural Language Agricultural Queries into Executable Remote Sensing Workflows.
.- FPC-UNet: A Dual-Stage Calibration Network for UAV-based Rice Field Segmentation.
.- Tree Species Classification in the Ningxiang Mining Area Using Integrated UAV Hyperspectral and LiDAR Data.
.- Session: Workshop KGMA
.- Digital Trust, AI-Enabled Phishing, and Fraud Victimization: A User-Centric Web Security Study.
.- Learning from Expert Disagreement: Energy-Based Models with Disagreement Modulated Training for Calibrated Uncertainty Estimation in Pulmonary Nodule Classification.
.- Ontology-Grounded Semantic Entity Retrieval for Digitized Traditional Vietnamese Medicine Literature: A Chatbot-Integrated Framework.
.- Safety-Usefulness Relative Shift in Multi-turn Dialogues of Large Language Models.
.- Session: Workshop NRSMA
.- Construction of Ecological-Risk Coupling Network and Comprehensive Resilience Assessment in Dongting Lake Basin.
.- Interpretable Sensitivity Analysis of Reservoir Drawdown-Induced Landslides for Monitoring Prioritization.
.- MineClaim: A Benchmark for LLM-Based ESG Claim Verification and Greenwashing Detection in Australian Mining Reports.
.- Scenario-Oriented Knowledge Organization and WebGIS Visualization of Geological Hazard Inventories for Natural Resources Governance: A Case Study of Xinzhou City.
.- Session: Workshop SemiBDMA
.- A Benchmark of Small Language Models for Local Text-to-SQL over SQLite.
.- Deep Learning Based Selectivity Estimation for String Predicates Considering String Length.
.- Template Tree and Knowledge Graph-Based Intelligent Review of Party-Building Materials.
.- Voice Activity Detection Using CLBP-Based Texture Encoding on Spectral Features.
.- ?-Approximate kNN-based Continuous Outlier Detection over Semi-Structured Data Stream.
.- Session: Workshop NRSMA
.- Assessing Long-Term Sustainable Development Goal Progress in China via a Machine Learning-Based Indicator Imputation Method with Bayesian Optimization.
.- Geological Hazard Prediction and Visualization System via Multi-Source Data Fusion and the Poisson-GAM Model.
.- Weakly Supervised Temporal Semantic Change Detection Using Dense Time Series Remote Sensing.