Database and Expert Systems Applications

The two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25-27, 2025.

The 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows:

Part I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning /Artificial Intelligence Applications; Classification Techniques.

Part II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security/Privacy; Benchmarks and Surveys.

. - Industrial Keynote.

. - From Data Silos to Data Mesh: A Case Study in Financial Data Architecture.

. - Invited Talk.

. - Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series Analysis.

. - A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles.

. - Large Language Models.

. - Automated Archival Descriptions with Federated Intelligence of LLMs.

. - Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features.

. - Towards Automating RDF Extraction for Archaeological Knowledge Graphs with LLMs.

. - Ontology-Based Forest Fire Management using Complex Event Processing and Large Language Models.

. - Table Annotation Utilizing Large Language Model and Knowledge Graph.

. - Improving Software Security Through a LLM-Based Vulnerability Detection Model.

. - SysResolve: Study on In-Context LLM Generation of Resolution Scripts.

. - Data Quality.

. - A Novel Unsupervised Anomaly Detection Method Based on TCN-LSTM-CMA Autoencoder.

. - Behaviour modelling and Wayfinding Error Detection in Low Mountain Hiking.

. - Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition.

. - Exploring Quantum Bootstrap Sampling for AQP Error Assessment: A Pilot Study.

. - AI-Driven Semantic Data Quality Assessment and Scoring for Relational Databases.

. - Network Anomaly Detection Using Gramian Angular Field Transformation and Vision Transformer.

. - Machine Learning /Artificial Intelligence Applications.

. - Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning.

. - Ensemble ToT and Its Application to Automatic Grading.

. - Improving Prompt-based Learning Framework for Mental Health Aspect Detection from Social Media.

. - DInos: A Deep Reinforcement Learning Approach to Generalizable Autoscaling in Stateless Cloud Applications.

. - Influential Slot and Tag Selection in Billboard Advertisement.

. - Speech-scenario Generation based on the Philosophy of Prominent Leader within the Small Community.

. - VarCGAN: Variational Cyclic Generative Adversarial Network for Music Genre Style Transfer.

. - Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions.

. - A Hybrid Approach to estimating AI Carbon Emissions.

. - Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory.

. - A Data Product Classification by Technical and Machine Learning Aspects.

. - Classification Techniques.

. - Discovering Voting Power for Ensemble Methods.

. - Classifying Public and Private Documents Using Context-Based Predictions.