Overview

This book constitutes short papers, Doctoral Consortium and workshop papers which were presented at the 29th European Conference on New Trends in Databases and Information Systems, ADBIS 2025, which took place in Tampere, Finland, during September 23-26, 2025.  This CCIS proceedings book contains 14 short papers and 3 demo papers from the main ADBIS 2025 conference. In addition, 24 out of 48 papers submitted to the workshops are included in this book.  The papers have been organized in topical sections as follows: Query Optimization; Spatio-Temporal & Graph Data;  Data Sharing & Synthesis; Entity Resolution & Integration; Doctoral Consortium School Invited Talks; MADEISD 2025: 7th Workshop on Modern Approaches in Data  Engineering and Information System Design; DOING 2025: 6th Workshop on Intelligent Data - From Data to Knowledge;K-GALS 2025: 4th Workshop on Knowledge Graphs Analysis on a Large Scale; CAIMA 2025: 1st Workshop on Cooperative AI Models and Applications; ERGA 2025: 1st Workshop on Entity Resolution and Graph Alignment; FEHDA 2025: 1st Workshop on Fairness Exploration in Heterogeneous Data and Algorithms; and IT4TOCI 2025: 1st Workshop on Information Technology for Tourism and Culture Industries.

Full Product Details

Author:   Panos K. Chrysanthis ,  Kjetil Nørvåg ,  Kostas Stefanidis ,  Zheying Zhang
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032057266

ISBN 10:   3032057264
Pages:   584
Publication Date:   22 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

.- Query Optimization. .- Search: Seek acceleration through interpolation in Smart Storage Settings. .- Extending the Applicability of Bloom Filters by Relaxing their Parameter Constraints. .- CoDD: A Constraint-based Dataset Discovery Tool for Open Data Lakes. .- Spatio-Temporal & Graph Data. .- Could More be Less: The Case of Location(s) Awareness in Time Series Prediction. .- Spatio-Temporal Data and Molecular Dynamics: Challenges and Opportunities (Vision Paper). .- From ER Conceptual Models to Document-based NoSQL Logical Models. .- Querying Property Graphs with XPath. .- ΤimeVizBench: An Interactive Platform for Evaluating Techniques for Efficient  Large Time Series Visualization. .- Data Sharing & Synthesis. .- Decentralized research data sharing management using blockchain technology. .- Experiversum: an Environment for Curating Data-Driven Experimental Sciences. .- Extension of Data Catalog Vocabulary for federating open datasets in data spaces. .-  Enhancing SQL Learning through Generative AI and Student Error Analysis. .- GESONGEN: An Interface for Generating and Visualizing Geosocial Networks. .- Entity Resolution & Integration. .- Accelerating Entity Resolution through Vectorized Meta-Blocking on GPUs. .- Validating Data Provenance Polynomials. .- Data Governance Maturity Models and Practices: A Systematic Literature Review. .- An Evaluation of Energy Consumption for Deep Learning-based Privacy Preserving  Record Linkage. .- Doctoral Consortium School Invited Talks. .- Machine Learning for Query Optimization in Knowledge Graphs. .- Vector Databases and Language Models: Synergies and Challenges. .- Ethical and Equitable Data Science: Bridging Social Justice and Technical Innovation. .- Data Integration for Data Science: Solutions and Still Open Problems. .- MADEISD 2025: 7th Workshop on Modern Approaches in Data  Engineering and Information System Design. .- Enhancing Data Interoperability in Multi-Platform Lakehouses with Apache Iceberg. .- Executable Semantics for Teaching Concatenative Stack-Based DSLs: The Case of  StackLang. .- Exploring Big Data Maturity Models: Findings from a Systematic Literature Review. .- Improving Data Discovery Effectiveness: Experimental Evaluation of Content-Based  Catalogs in Data Spaces. .- Architecture of Multi-Agent System for Automatic Code Template Maintenance. .- Sequence Management in the Relational Database System Oracle – Case Study. .- DOING 2025: 6th Workshop on Intelligent Data - From Data to  Knowledge. .- From Flows to Graphs: Data-Driven Insights on Latent Overtourism with Frequent  Pattern Mining. .-  Using a Model-Agnostic Meta-Model as a Flexible Database Migration Tool. .- DGP: towards a Distributed Graph Programming. .- K-GALS 2025: 4th Workshop on Knowledge Graphs Analysis on a  Large Scale. .- LLM-driven Summarization and Distinguish Analysis of Multiple Entities in RDF  Graphs. .- Comparing Community Structures in Knowledge Graphs Across Similarity Measures  and Clustering Algorithms. .- SapientIAGraph: An Open Knowledge Graph of University Degree Programs at  Sapienza. .- Identifying Inconsistent Temporal Triples in Temporal Knowledge Graphs. .- Financial Trading Analytics Knowledge Management. .- CAIMA 2025: 1st Workshop on Cooperative AI Models and  Applications. .- A Parameter-Efficient Approach to Distilling Large Language Models via Meta Learning. .- Underrepresentation of Dark Skin Tone in Skin Lesion Datasets: the Role of the  Explainable Techniques in Assessing the Bias. .- MaGA-Clif: Defending FL from Combined Poisoning Attacks with Marginal Gain  Estimation. .- ARPaCCino: An Agentic-RAG for Policy as Code Compliance. .- ERGA 2025: 1st Workshop on Entity Resolution and Graph  Alignment. .- Concept Matching in Hierarchical Meta-Data: Leveraging Big-Data to Improve the  Performances of Matching Strategies. .- FEHDA 2025: 1st Workshop on Fairness Exploration in  Heterogeneous Data and Algorithms. .-  Using Large Language Models for Ethical Process Modeling: A Case Study. .- ReFaRAG: Re-ranking for Bias Mitigation in Retrieval-Augmented Generation. .- IT4TOCI 2025: 1st Workshop on Information Technology for  Tourism and Culture Industries. .- Trustworthy Tourism Recommender Systems. .- A Blockchain-based Platform for Sharing and Rewarding User-Generated Content. .- Bias Evaluation in Contextual Machine Learning. .- RideLink: Enhancing Route Quality for Urban Multimodal Mobility.

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