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https://ceur-ws.org/Vol-3651/preface.pdf
The Workshops of the EDBT/ICDT 2024 Joint Conference
March 25, 2024
Message from the Workshop Chairs:
It is our great pleasure to present on behalf of the entire conference organizing committee and the
workshop organizers, the proceedings of the Workshops co-located with the 27th International
Conference on Extending Database Technology (EDBT) and the 27th International Conference on
Database Theory (ICDT), held on March 25, 2024 in Paestum, Italy.
The EDBT and ICDT series of conferences are prestigious forums for exchanging novel results that
extend the foundations and applications of data management technologies. This year, five exciting
workshops continue the tradition of focusing on emerging topics in data management, complementing the
areas covered by the main technical program (these proceedings include the first four workshops, while
the last one runs its own proceedings):
- EDBT PhD Workshop 2024
- Big Mobility Data Analytics (BMDA)
- Data Analytics solutions for Real-LIfe APplications (DARLI-AP)
- Health Data Management in the Era of AI (HeDAI)
- Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP)
We thank the workshop organizers, PC members and external reviewers for their effort in organizing
these workshops, and the authors for continuing to submit their high-quality work to the EDBT/ICDT
workshops, making these venues successful and intellectually stimulating.
Sincerely,
Themis Palpanas, Université Paris Cité (France)
H V Jagadish, University of Michigan (USA)
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
EDBT 2024 Ph.D. Workshop
We are happy to present the proceedings of the 2024 EDBT Ph.D. Workshop. The workshop was
co-located with the 27th International Conference on Extending Database Technology (EDBT 2024) in
Paestum, Italy and was held on March 25, 2024. We assembled a program consisting of four papers
accepted out of the six submissions we received. The papers span a wide spectrum of topics relevant in
database research.
The workshop program included a keynote presentation by Paolo Papotti (EURECOM, France). Paolo
Papotti discussed the career landscape of a Ph.D. in data management and the challenges of identifying
the "ideal" career path during postgraduate studies. The program also included a panel discussion with
well established members of the database community on "How to write (and receive) reviews". The
panelists were: Paolo Missier (Newcastle University, UK), Volker Markl (TU Berlin, Germany), Anastassia
Ailamaki (EPFL, Switzerland), Donatella Firmani (Sapienza University of Rome, Italy), Benny Kimelfeld
(Technion, Israel), and Sudeepa Roy (Duke University, USA). As an additional support for the Ph.D.
students, we offered two forms of mentorship. Each student was mapped to a PC member for individual
online feedback sessions based on the submitted paper and review. We also connected the attendees
with well established members of the database community for general questions about research during
the conference.
We thank Letizia Tanca and Qiong Luo, the EDBT 2024 PC chairs, and Loredana Caruccio and Giuseppe
Polese, the general chairs, who entrusted us with this role, and Themis Palpanas and H V Jagadish for
coordinating all workshops. We would also like to acknowledge the support of the whole local and
technical organizing team. Finally, we thank the workshop program committee, who did a great job
evaluating the papers and writing constructive feedback for the authors. We hope the event gave Ph.D.
students a good opportunity to share and exchange research ideas with experienced researchers and
become members of the friendly and welcoming database community. We wish all participants the very
best for their research!
Program Committee Chairs:
● Anton Dignös Free University of Bozen-Bolzano (Italy)
● Felix Naumann Hasso Plattner Institute, University of Potsdam (Germany)
Program Committee:
● Boris Galvic Illinois Institute of Technology (USA)
● Christian Bizer University of Mannheim (Germany)
● Cinzia Cappiello Politecnico di Milano (Italy)
● Katja Hose TU Wien (Austria)
● Matteo Ceccarello University of Padova (Italy)
● Melanie Herschel Universität Stuttgart (Germany)
● Mourad Khayati University of Fribourg (Switzerland)
● Panagiotis Bouros Johannes Gutenberg University Mainz (Germany)
● Philippe Bonnet IT University of Copenhagen (Denmark)
● Sonia Bergamaschi Università degli studi di Modena e Reggio Emilia (Italy)
● Stefanie Scherzinger University of Passau (Germany)
● Sven Helmer University of Zurich (Switzerland)
● Ulf Leser Humboldt-Universität zu Berlin (Germany)
Big Mobility Data Analytics (BMDA)
From spatial to spatio-temporal and, then, to mobility data. So, what’s next? It is the rise of mobility-aware
integrated Big Data analytics. The Big Mobility Data Analytics (BMDA) workshop series, initiated in 2018
with the EDBT Conference, aims at bringing together experts in the field from academia, industry and
research labs to discuss the lessons they have learned over the years, to demonstrate what they have
achieved so far, and to plan for the future of mobility.
In its 6th edition, the BMDA workshop fostered the exchange of new ideas on multidisciplinary real-world
problems, discussing proposals about innovative solutions, and identifying emerging opportunities for
further research in the area of big mobility data analytics, such as deep learning on mobility data, edge
computing, visual analytics. The workshop contributed to bridge the gap between researchers and big
mobility data stakeholders, including experts from critical domains, such as urban and maritime
transportation, human complex networks. All papers received three reviews from the program committee,
and twelve of them were accepted for presentation during the workshop. Finally, the workshop hosted an
invited talk by Konstantinos Tserpes (Harokopio University of Athens) on maritime trajectory classification
and clustering.
Program Committee Chairs:
● Mirco Nanni ISTI-CNR, Pisa (Italy)
● Alessandra Raffaetà Ca’ Foscari University of Venice (Italy)
● Panagiotis Tampakis University of Southern Denmark (Denmark)
● Yannis Theodoridis University of Piraeus (Greece)
Program Committee:
● Alexander Artikis NCSR Demokritos (Greece)
● Gao Cong Nanyang Technological University (Singapore)
● Maria Luisa Damiani University of Milan (Italy)
● Christos Doulkeridis University of Piraeus (Greece)
● Hakan Ferhatosmanoglu The University of Warwick (UK)
● Ioannis Kontopoulos Harokopio University and NCSR Demokritos (Greece)
● Ticiana L. Coelho da Silva Federal University of Ceara (Brazil)
● Hua Lu Roskilde University (Denmark)
● Kjetil Nørvåg Norwegian University of Science and Technology (Norway)
● Kostas Patroumpas IMIS - Athena Research Center (Greece)
● Nikos Pelekis University of Piraeus (Greece)
● Dieter Pfoser George Mason University (USA)
● Chiara, Renso ISTI-CNR, Pisa (Italy)
● Mahmoud, Sakr Université libre de Bruxelles (Belgium)
● Nicklas Sindlev Andersen University of Southern Denmark (Denmark)
● Amilcar Soares Linnaeus University (Sweden)
● Konstantinos Tserpes Harokopio University of Athens (Greece)
● Demetris Zeinalipour University of Cyprus (Cyprus)
● Karine Zeitouni University of Versailles Saint-Quentin (France)
● Dimitrios Zissis University of the Aegean (Greece)
Data Analytics solutions for Real-LIfe APplications (DARLI-AP)
Today, we are witnessing two closely connected trends: (1) remarkable advancements in technology
across a broad spectrum of devices, enabling the collection of ever-expanding volumes of data, and (2)
unprecedented achievements in data science, machine learning, and deep learning. These latter
disciplines are recognized as indispensable tools with broad applicability, poised to influence various
domains and profoundly impact society.
The practical and effective utilization of data science and machine learning algorithms holds the promise
of introducing novel, unconventional approaches to tackling emerging challenges stemming from the vast
amounts of real-world data being generated. The substantial potential of these algorithms in real-world
applications remains largely untapped. Both academics and practitioners are actively exploring ways in
which data science algorithms can imbue real-world applications with intelligence, sparking new research
avenues and paving the way for innovative, more efficient, and smarter services.
The DARLI-AP workshop aims to allow academics and practitioners from different research areas to
share their experiences developing innovative analytics solutions for real-world applications by leveraging
innovative data science, machine learning, and deep learning methods. The DARLI-AP community is
growing, and more researchers, academics, and practitioners have contributed to the eighth edition of the
workshop. The program includes 16 research papers co-authored by 64 people (roughly 30% female and
70% man) describing innovative methods and algorithms that address all facets of a data analytics
process in novel and interesting real-world applications and by design and developing new,
unconventional, helpful, and effective data-driven services.
The DARLI-AP 2024 program was enriched by a keynote speaker, Prof. Luca Cagliero, associate
professor of the Department of Control and Computer Engineering at Politecnico di Torino. Prof. Luca
Cagliero presented his recent research activity entitled "Don’t call me just “Outlier", discussing the latest
advances and research opportunities in automatic outlier detection techniques. It is particularly appealing
as it enables the discovery of unexpected and potentially harmful patterns.
The organizers of DARLI-AP would like to thank all those who contributed to the success of the eighth
edition:
● The authors - for submitting their research papers to the workshop;
● The keynote speaker, Prof. Luca Cagliero, who gave us the honor to present his recent research
project and vision at DARLI-AP 2024;
● The members of the Program Committee and the external reviewers who dedicated their time
and expertise to provide constructive and very useful feedback to the authors;
● The EDBT/ICDT 2024 chairs - for their trust and valuable support.
Program Committee chairs:
● Tania Cerquitelli Politecnico di Torino (Italy)
● Genoveva Vargas-Solar CNRS, LIRIS (France)
● Silvia Chiusano Politecnico di Torino (Italy)
Program Committee:
● Andreas Alamanos University of the Aegean (Greece)
● Daniele Apiletti Politecnico di Torino (Italy)
● Khalid Belhajjame PSL, Université Paris-Dauphine, LAMSADE (France)
● Irene Benedetto Politecnico di Torino (Italy)
● Sandro Bimonte INRAE (France)
● Pawel Boinski Poznan University of Technology (Poland)
● Emanuele Cavalleri University of Milan (Italy)
● Gabriele Ciravegna Politecnico di Torino (Italy)
● Anna Dalla-Vecchia University of Verona (Italy)
● Javier A. Espinosa-Oviedo University of Lyon (France)
● Fabio Fassetti University of Calabria (Italy)
● Skander Ghazzai Université Paris Dauphine (France)
● Salvatore Greco Politecnico di Torino (Italy)
● Carmem Hara University of Parana (Brazil)
● Chen Jiang Auburn University (USA)
● Carsten Kleiner University of Applied Science and Arts Hannover (Germany)
● Ulf Leser Institut für Informatik, Humboldt-Universität zu Berlin (Germany)
● Patrick Marcel University of Orléans (France)
● Sara Migliorini Università degli Studi di Verona (Italy)
● Somayeh Mohammadi Islamic Azad University (Iran)
● Santiago Negrete-Yankelevich Universidad Autónoma Metropolitana (Cuajimalpa) (Mexico)
● Eliana Pastor Politecnico di Torino (Italy)
● Eleonora Poeta Politecnico di Torino (Italy)
● Elisa Quintarelli Università di Verona (Italy)
● Simona E. Rombo University of Palermo (Italy)
● Marc-Andre Schulz RWTH Aachen University (Germany)
● Yorick Spenrath Eindhoven University of Technology (Netherlands)
● Domenico Ursino Polytechnic University of the Marches (Italy)
● Bartolomeo Vacchetti Politecnico di Torino (Italy)
● José Luis Zechinelli Martini Universidad de las Americas Puebla, (Mexico)
● Javier A. Espinosa-Oviedo University of Lyon (France)
● Fabio Fassetti University of Calabria (Italy)
● Flavio Giobergia Politecnico di Torino (Italy)
● Patrick Marcel Université de Tours, LIFAT (France)
● Sara Migliorini Università degli Studi di Verona (Italy)
● Kjetil Nørvåg Norwegian University of Science and Technology (Norway)
● Eliana Pastor Politecnico di Torino (Italy)
● Elisa Quintarelli Università di Verona (Italy)
● Simona E. Rombo University of Palermo (Italy)
● Paolo Soda Università Campus Bio-Medico di Roma (Italy)
● Domenico Ursino Polytechnic University of the Marche (Italy)
Health Data Management in the Era of AI (HeDAI)
Better information management is the key to a more intelligent health and social system. In this direction,
many challenges must be first overcome, enabling seamless, effective and efficient access to the various
health data sets and novel methods for exploiting the available information. HeDAI aims to bring together
an interdisciplinary audience interested in the fields of health informatics, data management, AI, semantic
web, and to discuss the unique challenges in health-care data management, also including ethical issues,
to propose novel and practical solutions for the next generation of data-driven health-care systems.
The submitted papers were reviewed by a Program Committee including 13 international experts in the
related fields. Each paper received between three to four reviews. Three papers were accepted for
presentation at the workshop. HeDAI program also included two keynotes given by Lucia Sacchi
(University of Pavia, Italy) related to the importance of data management in the design of AI-based clinical
decision support, and Tommaso di Noia (University of Bari, Italy) related to the importance of explaining
health predictions in the era of LLMs. A tutorial about advanced cyberinfrastructure for large-scale health
data analysis was given by Praveen Rao (University of Missouri-Columbia, USA).
Program Committee Chairs:
● Elisa Quintarelli University of Verona (Italy)
● Haridimos Kondylakis ICS-FORTH (Greece)
● Praveen Rao University of Missouri-Columbia (USA)
● Kostas Stefanidis Tampere University (Finland)
Program Committee:
● Sara Colantonio ISTI CNR of Pisa (Italy)
● Manas Das Southern Illinois University Edwardsville (USA)
● Mauro Dragoni Fondazione Bruno Kessler (Italy)
● Lauren Fromont Centre for Genomic Regulation (Spain)
● Martti Juhola Tampere University (Finland)
● Dimitrios Karapiperis Hellenic Open University (Greece)
● Lefteris Koumakis BBMR-GR (Greece)
● Matteo Lissandrini University of Verona (Italy)
● Gang Luo University of Washington (USA)
● Niccolò Marastoni University of Verona (Italy)
● Dimitris Sacharidis ULB (Belgium)
● Mohamed Sharaf United Arab Emirates University (United Arab Emirates)
● Eliana Pastor Politecnico of Torino (Italy)