ADBIS Short Papers: Index Management & Data Reconstruction.- Estimating iSAX Parameters for Efficiency.- RILCE: Resource Indexing in Large Connected Environments.- ADBIS Short Papers: Query Processing.- A Cost-Effective Query Optimizer for Multi-Tenant Parallel DBMSs.- Video Situation Monitoring for Improving Quality of Life.- Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline.- ADBIS Short Papers: Advanced Querying Techniques.- Diversification of Top-k Geosocial Queries.- Multi-disciplinary research : Open Science Data Lake.- Be High on Emotion: Coping with emotions when querying data.- ADBIS Short Papers: Fairness in Data Management.- Exploring Biases for Privacy-Preserving Phonetic Matching.- Multi-Objective Fairness in Team Assembly.- ADBIS Short Papers: Data Science.- A Comparative Study of Assessment Metrics for Imbalanced Learning.- A Hybrid GNN approach for predicting node data for 3D meshes.- Transformers and Attention Mechanism for Web Classification and Porn Detection.- Analysing robustness of tiny deep neural networks.- ADBIS Short Papers: Temporal Graph Management.- Semantic Centrality for Temporal Graphs.- A knowledge graph for query-induced analyses of hierarchically structured time series information.- ADBIS Short Papers: Consistent Data Management.- Eventually-Consistent Replicated Relations and Updatable Views.- Mining totally ordered sequential rules to provide timely recommendations.- ADBIS Short Papers: Data Integration.- Streaming Approach to Schema Profiling.- Using ChatGPT for Entity Matching.- CONSchema: Schema matching with semantics and constraints.- ADBIS Short Papers: Data Quality.- Context-aware Data Quality Management Methodology.- Thesaurus-based Transformation: A Classification Method for Real Dirty Data.- ADBIS Short Papers: Metadata Management.- Mobile Feature-oriented Knowledge Base Generation Using Knowledge Graphs.- NoSQL Schema Extraction from Temporal Conceptual Model: A Case for Cassandra.- Contributions from ADBIS 2023 Workshops and Doctoral Consortium.- Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium.- AIDMA: 1st Workshop on Advanced AI Techniques for Data Management, Analytics.- Data exploration based on local attribution explanation: a medical use case.- Explainability based on Feature Importance for Better Comprehension of Machine Learning in Healthcare.- An Empirical Study on the Robustness of Active Learning for Biomedical Image Classification under Model Transfer Scenarios.- Evaluating the Robustness of ML Models To Out-of-Distribution Data Through Similarity Analysis.- Holistic Analytics of Sensor Data From Renewable Energy Sources: A Vision Paper.- DOING: 4th Workshop on Intelligent Data - From Data to Knowledge.- Labelling Portuguese Man-of-War Posts Collected from Instagram.- Semantic Business Trajectories Modeling, Analysis.- A Text Mining Pipeline for Mining the Quantum Cascade Laser Properties.- Ensemble Learning based Quantum Text Classifiers.- Exploring the Capabilities, Limitations of VQC, QSVC for Sentiment Analysis on Real-World, Synthetic Datasets.- K-Gals: 2nd Workshop on Knowledge Graphs Analysis on a Large Scale.- P2KG: Declarative Construction, Quality Evaluation of Knowledge Graph from Polystores.- Using Knowledge Graphs to Model Green Investment Opportunities.- Knowledge Graphs Embeddings for Link Prediction in the Context of Sustainability.- An ArchiMate-Based Thematic Knowledge Graph for Low-CodeSoftware Development Domain.- A Knowledge Graph to Analyze Clinical Patient Data.- MADEISD: 5th Workshop on Modern Approaches in Data Engineering, Information System Design.- Towards automatic conceptual database design based on heterogeneous source artifacts.- Lightweight Aspect-Oriented Software Product Lines with Automated Product Derivation.- Comparison of selected neural network models used for automatic liver tumor segmentation.- Intelligent index tuning using reinforcement learning.- Automatic Indexing for MongoDB.- From High-Level Language to Abstract Machine Code: An Interactive Compiler, Emulation Tool for Teaching Structural Operational Semantics.- Decentralised Solutions for Preserving Privacy in Group Recommender Systems.- PeRS: 2nd Workshop on Personalization, Recommender Systems.- A Recommendation System for Personalized Daily Life Services to Promote Frailty Prevention.- Design-focused Development of a Course Recommender System for Digital Study Planning.- Systematic Literature Review on Click Through Rate Prediction.- Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies, Knowledge Graphs.- Recommender Chatbot as a Tool for Collaborative Business Intelligence in Tourism Domain.- Neural Graph Collaborative Filtering: analysis of possibilities on diverse datasets.- Performance, reproducibility of BERT4Rec on Netflix Price Dataset.- Doctoral Consortium.- Towards reliable machine learning.- Tackling the RecSys Side Effects via Deep Learning Approaches.- Toward a researcher-in-the loop driver curation approach for quantitative and qualitative research methods.- Deep learning techniques for television broadcast recognition.- Process Mining solutions for public administration.- Intelligent Technologies for Urban Progress: Exploring the Roleof AI and Advanced Telecommunications in Smart City Evolution.- Automatic Discovery of Zones of Interests with Maritime Trajectory Mining.