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-Code Software 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.