Program structure

Program

TUESDAY, SEPTEMBER 6TH, 2022 - ADBIS MAIN CONFERENCE
8:30-9:00 REGISTRATION
9:00-10:30 OPENING & KEYNOTE 3: Daniele Quercia (Center of Urban Science and Progress, King’s College London; Nokia Bell Labs, Cambridge, UK) "Insider Stories: Analyzing Stress, Depression, and Staff Welfare at Major US Companies from Online Reviews"
10:30-11:00 COFFEE BREAK
11:00-13:00 TUTORIAL 2: Johann Gamper (Free University of Bozen-Bolzano, Italy) "What’s New in Temporal Databases?"
13:00-14:30 D&I PANEL “Promoting equity, diversity and inclusion: policies, strategies, and future directions in higher education, research communities, and business” ---- LUNCH
14:30 - 16:30 SESSION 1: Graph processing SESSION 2: Time series and complex data management SESSION 3: Advanced querying
An algebra for path manipulation in graph databases, Roberto García and Renzo Angles Generating comparative explanations of financial time series, Jacopo Fior, Luca Cagliero and Tommaso Calò ORTree: Tuning Diversified Similarity Queries by means of Data Partitioning, João Victor de Oliveira Novaes, Lúcio Fernandes Dutra Santos, Agma Juci Machado Traina and Caetano Traina Jr
Road Network Graph Representation for Traffic Analysis and Routing, Chiara Bachechi and Laura Po Generalization Aware Compression of Molecular Trajectories, Md Hasan Anowar, Abdullah Shamail, Xiaoyu Wang, Goce Trajcevski, Sohail Murad, Cynthia J. Jameson and Ashfaq Khokhar A Knowledge-based approach to support analytic query answering in Semantic Data Lakes, Claudia Diamantini, Domenico Potena and Emanuele Storti
Parallel Discovery of Top-k Weighted Motifs in Large Graphs, Nikolaos Koutounidis and Apostolos Papadopoulos Parallel Techniques for Variable Size Segmentation of Time Series Datasets, Lamia Djebour, Reza Akbarinia and Florent Masseglia Insight-based vocalization of OLAP sessions, Matteo Francia, Enrico Gallinucci, Matteo Golfarelli and Stefano Rizzi
A Data Quality Framework for Graph-Based Virtual Data Integration Systems, Yalei Li, Sergi Nadal and Oscar Romero Querying Temporal Anomalies in Healthcare Information Systems and Beyond, Christina Khnaisser, Hind Hamrouni, David B. Blumenthal, Anton Dignös and Johann Gamper Soft Spatial Querying on JSON Data Sets, Paolo Fosci and Giuseppe Psaila
Multidimensional Constraint Reachable Paths for Attributed Graphs using Matrix Factorization (*), B. Bhargavi and K. Swarupa Rani Modeling and Querying Sensor Networks Using Temporal Graph Databases (*), Bart Kuijpers, Valeria Soliani and Alejandro Vaisman FusionFlow: an integrated system workflow for gene fusion detection in genomic samples (*), Federica Citarrella, Gianpaolo Bontempo, Marta Lovino and Elisa Ficarra
Interactive Knowledge Graph Querying through Examples and Facets (*), Yael Amsterdamer and Laura Gáspár Denoising Architecture for Unsupervised Anomaly Detection in Time-Series (*), Wadie Skaf and Tomáš Horváth ProSA Pipeline: Provenance conquers the Chase (*), Tanja Auge, Moritz Hanzig and Andreas Heuer
It’s too noisy in here: Using projection to improve Differential Privacy on RDF graphs (*), Sara Taki, Cédric Eichler and Benjamin Nguyen Indexing Continuous Paths in Temporal Graphs (*), Bart Kuijpers, Ignacio Ribas, Valeria Soliani and Alejandro A. Vaisman Embedding process structure in activities for process retrieval and comparison (*), Andrea Chiorrini, Claudia Diamantini, Laura Genga, Martina Pioli and Domenico Potena
16:40 – 21:00 WELCOME RECEPTION: guided tour Reggia di Venaria; Aperitif
WEDNESDAY, SEPTEMBER 7, 2022 - ADBIS MAIN CONFERENCE
8:30-9:00 REGISTRATION
9:00-10:00 KEYNOTE 4: Bruno Lepri (BRUNO KESSLER FOUNDATION, TRENTO, ITALY) "Understanding and rewiring cities and societies: A computational social science perspective"
10:00-10:30 COFFEE BREAK Steering Committee Meeting & Lunch
10:30 - 12:00 Session 4: Data access optimization and performance Session 5: Data processing & Fairness Session 6: Data science methods & Applications
Storage Management with Multi-Version Partitioned BTrees, Christian Riegger and Ilia Petrov Data narrative crafting via a comprehensive and well-founded process, Faten El Outa, Patrick Marcel, Verónika Peralta, Raphael da Silva, Marie Chagnoux and Panos Vassiliadis Outlier Explanation through Masking Models, Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò and Luigi Palopoli
Summarizing Edge-Device Data via Core Items, Damjan Gjurovski, Jan Heidemann and Sebastian Michel Forecasting POI Occupation with Contextual Machine Learning, Alberto Belussi, Andrea Cinelli, Anna Dalla Vecchia, Sara Migliorini, Michele Quaresmini and Elisa Quintarelli Comparison of models built using AutoML and data fusion, Anam Haq, Szymon Wilk and Alberto Abello
Analysing Workload Trends for Boosting Triple Stores Performance, Ahmed Al-Ghezi and Lena Wiese Smart contracts for Certified and Sustainable Safety-Critical Continuous Monitoring Applications, Nicola Elia, Francesco Barchi, Emanuele Parisi, Livio Pompianu, Salvatore Carta, Andrea Bartolini and Andrea Acquaviva Feature ranking from Random Forest through Complex Network's centrality measures, Adriano Henrique Cantão, Alessandra Alaniz Macedo, Liang Zhao and José Augusto Baranauskas
Bulk Loading of the Secondary Index in LSM-based stores for Flash Memory (*), Wojciech Macyna and Michal Kukowski Clustering-based Subgroup Detection for Automated Fairness Analysis (*), Jero Schäfer and Lena Wiese On an Extensible Conceptual Data Model by a Non-Formal Example (*), Manuk Manukyan
Blink: Lightweight sample runs for cost optimization of big data applications (*), Hani Al-Sayeh, Muhammad Attahir Jibril, Bunjamin Memishi and Kai-Uwe Sattler Open Science in the Cloud: The CloudFAIR Architecture for FAIR-compliant Repositories (*), João Pedro Castro, Lucas Romero, Anderson Chaves Carniel and Cristina Aguiar Understanding Misinformation About COVID-19 in WhatsApp Messages (*), Antonio Diogo Forte Martins, Jose Monteiro and Javam Machado
Discretizing Numerical Attributes: An Analysis of Human Perceptions (*), Minakshi Kaushik, Rahul Sharma and Dirk Draheim Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning (*), Rahul Sharma, Minakshi Kaushik, Dirk Draheim, Ankit Vidyarthi, Ashwani Kumar, Sijo Arakkal Peious and Markus Markus Bertl Automatic inference of taxonomy relationships among legal documents (*), Irene Benedetto, Luca Cagliero and Francesco Tarasconi
12:30-13:30 LUNCH
13:30-15:00 TUTORIAL 3: Rosa Meo (University of Torino, Italy) "Explainable, Interpretable, Trustworthy, Responsible, Ethical, Fair, Verifiable AI… what’s next?"
15:30-23:00 SOCIAL EVENT: Egyptian museum & CONFERENCE DINNER
Thursday, September 8, 2022 - ADBIS MAIN CONFERENCE
8:45-9:15 REGISTRATION
9:15-10:50 SESSION 7: Data cleaning, Processing & Visualization SESSION 8: Data science & Machine Learning
Maximum Range-Sum for Dynamically Occurring Objects with Decaying Weights, Ashraf Tahmasbi and Goce Trajcevski Dimensional Data KNN-based Imputation, Yuzhao Yang, Jérôme Darmont, Franck Ravat and Olivier Teste
A RoBERTa Based Approach for Address Validation (*), Yassine Guermazi, Sana Sellami and Omar Boucelma Unsupervised Extractive Text Summarization using Frequency-based Sentence Clustering (*), Ali Hajjar and Joe Tekli
Empirical comparison of semantic similarity measures for technical question answering (*), Moncef Nabil Boukhatem, Leo Liberti and Davide Buscaldi Experimental comparison of theory-guided deep learning algorithms (*), Simone Monaco and Daniele Apiletti
Using word embeddings for tabular open data search based on unionability and joinability (*), Alberto Berenguer, Jose-Norberto Mazon and David Tomás Hyper-parameters tuning of Artificial Neural Networks: an application in the field of Recommender Systems (*), Vaios Stergiopoulos, Michael Vassilakopoulos, Eleni Tousidou and Antonio Corral
The use of M2P in Business process improvement and optimization (*), Meriem Kherbouche, Yossra Zghal, Bálint Molnár and András Benczúr Exploring Latent Space Using a Non-Linear Dimensionality Reduction Algorithm For Style Transfer Application (*), Doaa Almhaithawi, Alessandro Bellini and Stefano Cuomo
Visualisation of Numerical Query Results on Industrial Data Streams (*), Miran Ismaiel Nadir and Kjell Orsborn QLDT: A Decision Tree based on Quantum Logic (*), Ingo Schmitt
10:50-11:15 COFFEE BREAK
11:15-13:00 TUTORIAL 4: Mirjana Ivanovic (University of Novi Sad, Serbia) "AI approaches in processing and using data in personalized medicine" & CONFERENCE CLOSING

Main conference session details: Short papers are marked with (*) and the presenters will have 15 minutes time in the time slot available. The long papers will have 20 minutes time. This time slot include the minutes for discussion. Detailed session schedule here.

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