SEBD 2023
31st Symposium of Advanced Database Systems

Table of Contents

• Preface I-IV
  There were 70 papers submitted to the SEBD 2023 main track. Out of these 66 were accepted for presentation, 46 discussion papers, 12 extended abstract and 8 regular papers.
  Additionally, 15 papers were accepted to be presented at the Doctoral Consortium.
  

Keynotes

• User-Defined Functions in Relational Databases: Challenges and Promising Solutions based on YeSQL 1-2
  Yannis Ioannidis
  
• Responsible Data Management 3-4
  Julia Stoyanovich
  
• Tensor Query Processing: How to ride the AI investment wave for database analytics? 5-6
  Carlo Curino
  

Taste-of-time Award: Winner

• A Guided Tour of the Fibonacci System: Taste of Time 7-10
  Antonio Albano, Carla Brasini, Milena Diotallevi, Giorgio Ghelli, Renzo Orsini
  

Taste-of-time Award: Honorable Mention

• Reasoning with Constraints in Database Models 11-12
  Domenico Beneventano, Sonia Bergamaschi, Stefano Lodi, Claudio Sartori
  

Learning frameworks and structures

• DLE4FC: a Deep Learning Ensemble to Identify Fabric Colors 13-21
  Alessia Amelio, Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili
  
• Multiple Instance Learning for Diabetic Retinopathy Detection 22-31
  Matteo Avolio, Antonio Fuduli, Eugenio Vocaturo, Ester Zumpano
  
• From RAM3S to SPAF: Towards a Stream Processing Abstracting Framework 32-40
  Ilaria Bartolini, Marco Patella
  
• NT4XAI: a Framework Exploiting Network Theory to Support XAI on Classifiers 41-50
  Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Giorgio Terracina, Domenico Ursino, Luca Virgili
  
• Consistently Faster: A Survey and Fair Comparison of Consistent Hashing Algorithms 51-64
  Massimo Coluzzi, Amos Brocco, Tiziano Leidi
  
• Attribution Methods Assessment for Interpretable Machine Learning 65-75
  Alfredo Cuzzocrea, Qudrat E. Alahy Ratul, Islam Belmerabet, Edoardo Serra
  
• An Innovative Framework for Supporting Multi-Criteria Ratings and Reviews over Big Textual Data 76-87
  Emrul Hasan, Chen Ding, Alfredo Cuzzocrea, Islam Belmerabet
  
• A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning 88-99
  Corrado Loglisci, Ivan Diliso, Donato Malerba
  

Entity Extraction, Matching and Modelling

• A Novel DB CASE Tool for Relational Databases 100
  Andrea Avignone, Silvia Chiusano, Alessandro Fiori, Paolo Garza, Emanuele Marchetta
  
• Interpretable Entity Matching with WYM 101-109
  Andrea Baraldi, Francesco Del Buono, Francesco Guerra, Giacomo Guiduzzi, Matteo Paganelli, Maurizio Vincini
  
• A Service Architecture for AI-based Legal Knowledge Extraction 110-119
  Valerio Bellandi, Silvana Castano, Stefano Montanelli, Davide Riva
  
• A Discussion on Open Issues Regarding Human Value Detection in Arguments 120-132
  Alfio Ferrara, Sergio Picascia, Elisabetta Rocchetti
  
• SpanIE: A Span-based Approach to OpenIE 133-140
  Alfio Ferrara, Darya Shlyk
  
• A general approach to Supervised Meta-Blocking 141-150
  Luca Gagliardelli, George Papadakis, Giovanni Simonini, Sonia Bergamaschi, Themis Palpanas
  

Knowledge Bases and Data Semantics

• Multi-perspective Description and Search of Smart Contracts for DApp Design 151-159
  Ada Bagozi, Devis Bianchini, Valeria De Antonellis, Massimiliano Garda, Michele Melchiori
  
• Automated Knowledge Graph Completion for Natural Language Understanding: Known Paths and Future Directions 160-172
  Giovanni Buzzega, Veronica Guidetti, Federica Mandreoli, Luca Mariotti, Andrea Belli, Paolo Lombardi
  
• Towards the Construction of an RNA-centered Knowledge Graph 173-180
  Emanuele Cavalleri, Sara Bonfitto, Alberto Cabri, Jessica Gliozzo, Paolo Perlasca, Mauricio Soto-Gomez, Gabriella Trucco, Elena Casiraghi, Giorgio Valentini, Marco Mesiti
  
• Semantic Interpretation of BERT Embeddings with Knowledge Graphs 181-191
  Alessandro De Bellis, Giovanni Maria Biancofiore, Vito Walter Anelli, Fedelucio Narducci, Tommaso Di Noia, Azzurra Ragone, Eugenio Di Sciascio
  
• Towards a Formal Approach to a Knowledge Base Supporting Business Process Analysis 192-199
  Antonio De Nicola, Anna Formica, Ida Mele, Michele Missikoff, Francesco Taglino
  
• CoreKB: A Web-based Platform for Searching Reliable Facts over a Medical Knowledge Base 200-209
  Fabio Giachelle, Stefano Marchesin, Gianmaria Silvello, Omar Alonso
  
• Ontology-Based Data Federation - A Framework Proposal 210-219
  Zhenzhen Gu, Diego Calvanese, Marco Di Panfilo, Davide Lanti, Alessandro Mosca, Guohui Xiao
  
• Bridging the Gap Between Micro and Macro Data: Ontologies to the Rescue 220-227
  Domenico Lembo, Maurizio Lenzerini, Antonella Poggi, Roberta Radini, Michele Riccio, Valerio Santarelli
  
• An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification 228-238
  Laura Menotti, Stefano Marchesin, Gianmaria Silvello
  

Data Quality

• Data Quality and Fairness: Rivals or Friends? 239-247
  Fabio Azzalini, Cinzia Cappiello, Chiara Criscuolo, Sergio Cuzzucoli, Alessandro Dangelo, Camilla Sancricca, Letizia Tanca
  
• Injecting Conceptual Constraints into Data Fabrics 248-258
  Paolo Ciaccia, Davide Martinenghi, Riccardo Torlone
  
• How Many Inconsistencies Are In Your Database? 259-269
  Francesco Parisi, John Grant
  
• DEGAIN as tool for Missing Data Imputation 270-278
  Reza Shahbazian, Irina Trubitsyna
  

Graph-based methods and applications

• Graph Representation Learning for Complex Security Problems 279-290
  Alfredo Cuzzocrea, Miguel Quebrado, Abderraouf Hafsaoui, Edoardo Serra
  
• An Approach to Population Linkage using Graph Databases 291-302
  Alan Dearle, Graham Kirby, Özgür Akgün
  
• An API for Ontology-driven LPG Graph DB Management 303-316
  Davide Di Pierro, Stefano Ferilli
  
• HEMR: Hypergraph Embeddings for Music Recommendation 317-325
  Antonino Ferraro, Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Flora Amato
  
• The Company Control Problem, Reactively 326-334
  Davide Magnanimi, Stefano Ceri, Luigi Bellomarini, Davide Martinenghi
  
• The Challenge of Finding Degree Centrality Nodes in Heterogeneous Multilayer Networks 335-348
  Kiran Mukunda, Abhishek Santra, Sharma Chakravarthy
  

Querying

• A Modular Framework for Conversational Search Reproducible Experimentation 349-359
  Marco Alessio, Guglielmo Faggioli, Nicola Ferro
  
• Querying Data Exchange Settings Beyond Positive Queries 360-368
  Marco Calautti, Sergio Greco, Hebatalla Hammad, Tariq Mahmood, Cristian Molinaro, Irina Trubitsyna
  
• Analytic query answering in a Semantic Data Lake 369-378
  Claudia Diamantini, Domenico Potena, Emanuele Storti
  
• On the Limitations of Query Performance Prediction for Neural IR 379-390
  Guglielmo Faggioli, Thibault Formal, Stefano Marchesin, Stéphane Clinchant, Nicola Ferro, Benjamin Piwowarski
  
• On the Optimization of Query Plans in Multistores 391-400
  Chiara Forresi, Matteo Francia, Enrico Gallinucci, Matteo Golfarelli
  
• Enhancing Ontological Query-Rewriting via Parallelization 401-409
  Heba M. Wagih, Marco Calautti
  
• Entity Resolution On-Demand for Querying Dirty Datasets 410-419
  Giovanni Simonini, Luca Zecchini, Felix Naumann, Sonia Bergamaschi
  

Machine learning and DBs

• An Approach to Trade-off Privacy and Classification Accuracy in Machine Learning Processes 420-429
  Loredana Caruccio, Domenico Desiato, Giuseppe Polese, Genoveffa Tortora, Nicola Zannone
  
• Siamese Network for Fake Item Detection 430-438
  Erica Coppolillo, Daniela Gallo, Angelica Liguori, Simone Mungari, Ettore Ritacco, Giuseppe Manco
  
• Boosting Methods for Federated Learning 439-448
  Roberto Esposito, Mirko Polato, Marco Aldinucci
  
• Unsupervised Anomaly Detection in Predictive Maintenance Using Sound Data 449-458
  Antonino Ferraro, Antonio Galli, Valerio La Gatta, Vincenzo Moscato, Marco Postiglione, Giancarlo Sperlì, Francesco Moscato
  
• Neuro-Symbolic techniques for Predictive Maintenance 459-468
  Angelica Liguori, Simone Mungari, Ettore Ritacco, Francesco Ricca, Giuseppe Manco, Salvatore Iiritano
  
• Machine Learning Techniques for Detecting Fraud in Credit Card Transactions 469-478
  Tariq Mahmood, Seyedeh Khadijeh Hashemi, Seyedeh Leili Mirtaheri, Sergio Greco
  
• Attribute Ambiguity Discovery: A Deep Learning Approach via Unsupervised Learning 479-487
  Enzo Veltri, Gilbert Badaro, Mohammed Saeed, Paolo Papotti
  
• Fair Semi-supervised Representation Learning for Tabular Data Classification 488-496
  Shuyi Yang, Mattia Cerrato, Dino Ienco, Ruggero G. Pensa, Roberto Esposito
  

Learning from data: Applications

• Introducing AI-Based Techniques in the Justice Sector: A Proposal for Digital Transformation of Court Offices 497-504
  Flora Amato, Simona Fioretto, Eugenio Forgillo, Elio Masciari, Nicola Mazzocca, Sabrina Merola, Enea Vincenzo Napolitano
  
• BioVec-Ita: Biomedical Word Embeddings for the Italian Language 505-513
  Marcello Bavaro, Tommaso Dolci, Davide Piantella
  
• ORISHA: Improving Threat Detection through Orchestrated Information Sharing (Discussion Paper) 514-524
  Luca Caviglione, Carmela Comito, Massimo Guarascio, Giuseppe Manco, Francesco Sergio Pisani, Marco Zuppelli
  
• Bridging the Gap between Buyers and Sellers in Data Marketplaces with Personalized Datasets 525-534
  Donatella Firmani, Jerin George Mathew, Donatello Santoro, Giovanni Simonini, Luca Zecchini
  
• A Meta-Active Learning Approach Exploiting Instance Importance based on Learning Gradient Variation 535-544
  Sergio Flesca, Domenico Mandaglio, Francesco Scala, Andrea Tagarelli
  
• Fine-grained Soil Moisture Monitoring with PLUTO 545-554
  Matteo Francia, Joseph Giovanelli, Matteo Golfarelli
  
• Using Regression to Explain Cube Measures 555-564
  Matteo Francia, Stefano Rizzi, Patrick Marcel
  
• Dataspaces in Urban Digital Twins: a Case Study in the Photovoltaics 565-572
  Cristian Martella, Antonella Longo, Marco Zappatore, Antonio Ficarella
  
• Lightweight Extensible Frameworks for IoT Applications 573-582
  Giansalvatore Mecca, Michele Santomauro, Donatello Santoro, Enzo Veltri
  
• Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns 583-594
  Rosa Porro, Thomas Ercole, Giuseppe Pipitò, Gennaro Vessio, Corrado Loglisci
  

Recommendation and Data Analysis

• A Distributed Registry of Multi-perspective Data Services for the Internet of Production 595-604
  Ada Bagozi, Devis Bianchini, Anisa Rula
  
• An Ex-post Analysis of the Phenomenon of Wash Trading on NFTs 605-613
  Gianluca Bonifazi, Francesco Cauteruccio, Enrico Corradini, Michele Marchetti, Domenico Ursino, Luca Virgili
  
• Relaxed Functional Dependency Discovery in Incremental Scenarios 614-622
  Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia, Giuseppe Polese
  
• ICARE: An Intuitive Context-Aware Recommender with Explanations 623-631
  Anna Dalla Vecchia, Niccolò Marastoni, Barbara Oliboni, Elisa Quintarelli
  
• A Context-Aware Recommendation System with a Crowding Forecaster 632-640
  Anna Dalla Vecchia, Sara Migliorini, Elisa Quintarelli, Alberto Belussi
  
• Two Introductory Data-driven Activities for Secondary Schools 641-649
  Giovanna Guerrini, Daniele Traversaro
  
• Systematic Literature Review on Mobile Applications on Covid-19 Crisis 650-664
  Divya Pragna Mulla, Mario Alessandro Bochicchio, Antonella Longo
  
• A Multi-Perspective Approach for Risky User Identification in Social Networks 665-673
  Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
  

Doctoral Consortium

• Analysis, Prediction and Mitigation of Exposure to Vehicular Air Pollution Based on Multi-Source Urban Data 674-680
  Gurban Aliyev
  
• Locality Sensitive Hashing of Trajectories Under Local Differential Privacy 681-687
  Fabrizio Boninsegna
  
• Deepfake Detection: Challenges and Solutions 688-689
  Davide Alessandro Coccomini
  
• Survey Data System: a Framework to Enhance Response Rate in Clinical Studies 690-696
  Giulio de sabbata
  
• Business Process Extraction from Documents with AI 697-702
  Simona Fioretto
  
• IoT Security: Exploring Strategies and Approaches 703-710
  Claudia Greco
  
• Scaling Bio-Inspired Neural Features to Real-World Image Retrieval Problems 711-717
  Gabriele Lagani
  
• Urban Structure and Environmental Performances: a Framework for Discovering Corresponding Pattern (Extended abstract) 718-719
  Emilia Lenzi
  
• Maximizing Efficiency in Existing Data Preparation Pipelines 720-726
  Angelo Mozzillo
  
• Virosensor : An Innovative Mobile Application for Predicting The Risk Of Airborne Transmission Of Covid-19 Through The Data Driven Approaches With Real-Time Data From Biosensor Systems 727
  Divya Pragna Mulla, Mario Alessandro Bochicchio, Antonella Longo
  
• Trajectory Mining for Smart Cities: A Focus on Indoor Localization using 5G Technology 728-734
  Enea Vincenzo Napolitano
  
• Contextualized Semantic Shift Detection 735-741
  Francesco Periti
  
• Data Science Approaches to Support the Design of Crowdfunding Campaigns 742
  Rosa Porro
  
• Knowledge Extraction and Cross-Language Data Integration in Digital Libraries 743-749
  Luca Sala
  
• Privacy-Preserving Data Integration for Health 750-756
  Lisa Trigiante