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https://ceur-ws.org/Vol-2841/preface.pdf
EDBT/ICDT-WS 2021
The Workshops of the EDBT/ICDT 2021 Joint Conference
March 27, 2021
Message from the 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 24th International Confer-
ence on Extending Database Technology (EDBT) and the 24th International Conference on Database
Theory (ICDT), held on March 23, 2021 Nicosia, Cyprus. The EDBT/ICDT 2021 joint conference
and all of its workshops took place fully online due to the global COVID-19 pandemic.
The EDBT and ICDT series of conferences are prestigious forums for exchanging novel results
that extend the foundations and applications of data management technologies. Starting this year,
EDBT/ICDT participates in an effort to promote diversity and inclusion in all aspects of professional
activities. 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.
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 the workshops possible.
Sincerely,
Evaggelia Pitoura, Workshops Chair
Constantinos Costa, Workshops Proceedings Chair
1
Workshops
BigVis 2021: 4th International Workshop on Big Data Visual Exploration and
Analytics
Information Visualization is nowadays one of the cornerstones of Data Science, turning the abundance
of Big Data being produced through modern systems into actionable knowledge. The BigVis workshop
focuses on a broad spectrum of data exploration, visualization and analytics issues, from traditional
ones, such as efficient data storage, querying & indexing for enabling visual analytics, to new ways for
visual presentation of massive data, efficient interaction and personalization techniques that can fit to
different user needs.
BigVis 2021 attracted international participation from academia and industry: Ten research papers
were submitted, four regular and two short papers were selected for publication and for the first time,
BigVis considered a Best Paper Award. We own our sincere gratitude to the 45 members of the Tech-
nical Program Committee who contributed in assembling such a high-quality program, working within
a very tight schedule. The BigVis 2021 program included also two keynotes given by Georgia Koutrika
(ATHENA Research Center, Greece) and Michael Sedlmair (University of Stuttgart, Germany) related
to “intelligent data assistants” and “machine learning and visualization”, respectively.
Organizing Committee:
Nikos Bikakis ATHENA Research Center, Greece
Panos K. Chrysanthis University of Pittsburgh, USA
George Papastefanatos ATHENA Research Center, Greece
Tobias Schreck Graz University of Technology, Austria
2
Program Committee:
James Abello Rutgers University, USA
Gennady Andrienko Fraunhofer, Germany
Natalia Andrienko Fraunhofer, Germany
Michael Behrisch Utrecht University, Netherlands
Jacob Biehl University of Pittsburgh, USA
Rick Cole Tableau
Alfredo Cuzzocrea University of Calabria, Italy
Ahmed Eldawy University of California, Riverside, USA
Jean-Daniel Fekete INRIA, France
Steffen Frey University of Stuttgart, Germany
Issei Fujishiro Keio University, Japan
Giorgos Giannopoulos ATHENA Research Center, Greece
Parke Godfrey University of York, Canada
Silu Huang Microsoft
Christophe Hurter Ecole Nationale de l’Aviation Civile, France
Halldor Janetzko Lucerne University of Applied Sciences & Arts, Switzerland
Stefan Jänicke University of Southern Denmark, Denmark
Vana Kalogeraki Athens University of Economics & Business, Greece
Eser Kandogan Megagon Labs
Anastasios Kementsietsidis Google
James Klosowski AT&T Research
Stavros Maroulis National Technical University of Athens, Greece
Suvodeep Mazumdar The University of Sheffield, United Kingdom
Silvia Miksch Vienna University of Technology, Austria
Davide Mottin Aarhus University, Denmark
Martin Nöllenburg Vienna University of Technology, Austria
Behrooz Omidvar-Tehrani NAVER LABS Europe, France
Jaakko Peltonen Aalto University & University of Tampere, Finland
Laura Po Unimore, Italy
Giuseppe Polese University of Salerno, Italy
Alexander Rind St. Pölten University of Applied Sciences, Austria
Rahman Sajjadur Megagon Labs
Hans-Jörg Schulz Aarhus University, Denmark
Bettina Speckmann Eindhoven University of Technology, Netherlands
Kostas Stefanidis University of Tampere, Finland
Christian Tominski University of Rostock, Germany
Yannis Tzitzikas University of Crete & FORTH-ICS, Greece
Katerina Vrotsou Linköping University, Sweden
Chaoli Wang University of Notre Dame, USA
Junpeng Wang Visa Research
Chen Wei Zhejiang University, China
Yingcai Wu Zhejiang University, China
Jiazhi Xia Central South University, China
Panpan Xu Bosch Research
Hongfeng Yu University of Nebraska-Lincoln, USA
3
BMDA 2021: 4th International Workshop on Big Mobility Data Analytics
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, initiated
in 2018 with 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 4th edition, BMDA workshop
will foster the exchange of new ideas on multidisciplinary real-world problems, discuss proposals about
innovative solutions, and identify emerging opportunities for further research in the area of big mobility
data analytics, such as deep learning on mobility data, edge computing, visual analytics, etc.
Papers submitted to the workshop were reviewed by a Program Committee comprising 26 interna-
tional experts in the field. Each paper received at least three reviews, based on which the final decision
for acceptance was made by the 4 PC Chairs. The workshop received a total of 12 submissions. After
the reviewing process, 6 regular papers, and 3 demo papers were accepted for presentation at the
workshop.
Organizing Committee:
Cyril Ray Arts & Métiers Institute of Technology and Naval Academy, France
Chiara Renso ISTI - CNR Pisa, Italy
Mahmoud Sakr Université Libre de Bruxelles, Belgium
Yannis Theodoridis University of Piraeus, Greece
Program Committee:
Gennady Andrienko Fraunhofer Instute IAIS, Germany
Alexander Artikis University of Piraeus and NCSR ”Demokritos”, Greece
Nicolas Baskiotis Université Pierre et Marie Curie, France
Gianluca Bontempi Université Libre de Bruxelles, Belgium
Eva Chondrodima University of Piraeus, Greece
Michele Dallachiesa University of Trento, Italy
Maria Luisa Damiani University of Milan, Italy
Christos Doulkeridis University of Piraeus, Greece
Harris Georgiou University of Piraeus, Greece
Kyoung-Sook Kim AIST, Japan
Amr Magdy University of California, Riverside, USA
Vinicius Monteiro de Lira ISTI-CNR Pisa, Italy
Mirco Nanni ISTI-CNR Pisa, Italy
Kostas Patroumpas IMSI, Athena Research Center, Greece
Nikos Pelekis University of Piraeus, Greece
Alessandra Raffaetà Universita’ Ca’ Foscari Venezia, Italy
Loic Salmon Institut de Recherche de l’École navale (IRENav), France
Amilcar Soares Memorial University of Newfoundland, Canada
Panagiotis Tampakis University of Piraeus, Greece
Robert Weibel University of Zurich, Switzerland
Karine Zeitouni University of Versailles-Saint-Quentin, France
Dimitrios Zissis University of the Aegean, Greece
4
DARLI-AP 2021: 5th International workshop on Data
Analytics solutions for Real-LIfe APplications
Information and Communication Technologies has made available a massive amount of heterogeneous
data in various real application domains. Digging deep into these data collections can create a rich
landscape of valuable insights to add intelligence to the targeted field and significantly impact business
activities. In this process, the human plays a crucial role in generating data, driving a user and
context-aware analysis process, and demanding accessible and understandable knowledge at the end of
the process. Various application-driven challenges about data science arise dealing with the creation,
storage, search, sharing, modeling, analysis, and visualization of data, information, and knowledge
that need to be customized based on the critical application requirements.
DARLI-AP allows academics and practitioners from various research areas to share their experi-
ences designing and developing cutting-edge analytics solutions for real-life applications. The DARLI-
AP international program committee is composed of 15 experts working in data science and related
domains. For the 2021 edition, 20 submitted papers were evaluated by at least two experts members
of the program committee, leading to an acceptance rate of 55%.
Organizing Committee:
Tania Cerquitelli Politecnico di Torino, Italy
Silvia Chiusano Politecnico di Torino, Italy
Genoveva Vargas-Solar CNRS, LIRIS-LAFMIA, France
Program Committee:
Khalid Belhajjame University Paris Dauphine, France
Agnese Chiatti The Open University, UK
Elena Daraio Politecnico di Torino, Italy
Jérôme Darmont Université de Lyon, France
Javier Espinosa Oviedo Delft University of Technology, Germany
Patrick Marcel University Francois Rabelais of Tours, France
Sara Migliorini Università degli Studi di Verona, Italy
Kjetil Norvag Norwegian University of Science and Technology, Norway
Eliana Pastor Politecnico di Torino, Italy
Elisa Quintarelli Politecnico di Milano, Italy
Simona Rombo University of Palermo, Italy
Paolo Soda Università Campus Bio-Medico di Roma, Italy
Domenico Ursino Università Politecnica delle Marche, Italy
Robert Wrembel Poznan Unviersity of Technology, Poland
Jose Luis Zechinelli Martini Universidad de las Américas, Mexico
5
PIE+Q 2021: 3rd International Workshop on Processing Information Ethically, a
plus for data Quality
The Third International Workshop on Processing Information Ethically, a plus for data Quality
(PIE+Q 2021) hosts papers on the conceptual and technological approaches for dealing with the
ethical issues that arise in data management. While such demands are already broadly reflected into
new codes of ethics and legally binding regulations, it is necessary to stress that ethical aspects are
also strictly related to Data Quality; indeed, when ethically critical decisions are taken on the basis of
data analysis, the fact that the analyzed dataset satisfies basic ethical requirements is needed to trust
the outcome of the process. Therefore, it is our community’s precise responsibility to acknowledge the
need for the design of responsible information system within a data quality perspective and, as a conse-
quence, to provide the technical means to take care of the ethical aspects of all the activities belonging
to the so-called information life-cycle: source selection, knowledge extraction, data integration, and all
the statistical, data mining and machine learning techniques that go under the broad category of data
analysis.
We are indebted to the members of the program committee for their meticulous work in the se-
lection process: Matteo Lissandrini (Aalborg University), Tommaso Teofili (Adobe Systems), Davide
Martinenghi (Politecnico di Milano), Elisa Quintarelli (Università di Verona), H. V. Jagadish (Univer-
sity of Michigan), Rajesh Bordawekar (IBM), Ernest Teniente (Universitat Politècnica de Catalunya),
and John Puentes (IMT Atlantique). Last, but not least, we would like to thank the authors who
submitted their work to this workshop, the invited speakers H. V. Jagadish and Paolo Papotti, and all
the participants who contributed to the success of the event.
Organizing Committee:
Riccardo Torlone Roma Tre University, Italy
Letizia Tanca Politecnico di Milano, Italy
Donatella Firmani Roma Tre University, Italy
Elena Nieddu Roma Tre University, Italy
Program Committee:
Matteo Lissandrini Aalborg University
Tommaso Teofili Adobe Systems
Davide Martinenghi Politecnico di Milano
Elisa Quintarelli Università di Verona
H. V. Jagadish University of Michigan
Rajesh Bordawekar IBM
Ernest Teniente Universitat Politècnica de Catalunya
John Puentes IMT Atlantique
6
SIMPLIFY 2021: 1st International Workshop on Data Analytics and Machine
Learning Made Simple
Although there exists a plethora of techniques, algorithms and tools to manage, query and analyze
various types of data, they typically require a high degree of data management skills and expertise,
as well as significant time and effort for data preparation, parameter tuning and design and imple-
mentation of data analytics and machine learning pipelines. The aim of the SIMPLIFY workshop is
to bring together computer scientists with interests in this topic to present recent innovations and to
stimulate further development of new approaches that greatly simplify the work of a data analyst when
performing data analytics, or when employing machine learning algorithms, over Big Data.
Papers submitted to the workshop were reviewed by a Program Committee comprising 22 interna-
tional experts in the field. Each paper received at least two reviews, based on which the final decision
for acceptance was made by the 3 PC Chairs. The workshop received a total of 12 submissions.
After the reviewing process, 6 regular papers, 4 short papers, and 1 demo paper were accepted for
presentation at the workshop.
Organizing Committee:
Antonios Deligiannakis Technical University of Crete, Greece
Manolis Koubarakis National and Kapodistrian University of Athens, Greece
Dimitris Skoutas Athena Research Center, Greece
Program Committee:
Alexander Artikis NCSR ”Demokritos”
Konstantina Bereta National and Kapodistrian University of Athens
Daniele Bonetta Oracle Labs
Bikash Chandra Ecole Polytechnique Fédérale de Lausanne
Nikos Giatrakos Athena Research Center
Damien Graux ADAPT Centre and Trinity College Dublin
Asterios Katsifodimos Delft University of Technology
Georgia Koutrika Athena Research Center
Matteo Lissandrini Aalborg University
Davide Mottin Aarhus University
Ioannis Mytilinis Ecole Polytechnique Fédérale de Lausanne
Eirini Ntoutsi L3S Research Center
Odysseas Papapetrou Eindhoven University of Technology
Matthias Renz Christian-Albrechts-Universität zu Kiel
Dimitris Sacharidis Vienna University of Technology
Alkis Simitsis Athena Research Center
Giovanni Simonini Università di Modena e Reggio Emilia
Thanasis Vergoulis Athena Research Center
Nikolay Yakovets Eindhoven University of Technology
7