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https://ceur-ws.org/Vol-3308/xpreface.pdf
Preface to the Sixteenth International Conference on
Concept Lattices and Their Applications, CLA 2022
Pablo Cordero1,∗ , Ondrej Kridlo2
1
Department of Applied Mathematics, University of Málaga, Málaga, Spain
2
Institute of Computer Science, Pavol Jozef Šafárik University in Košice, Slovakia
Abstract
This volume contains the papers presented at the Sixteenth International Conference on Concept
Lattices and Their Applications, CLA 2022, including the satellite workshop entitled “Existing Tools and
Applications for Formal Conceptual Analysis, ETAFCA’2022”.
Preface
The CLA conference is an international forum for researchers, practitioners and students
dedicated to the practice of Formal Concept Analysis (FCA) and areas closely related to it,
including data analysis and mining, information retrieval, knowledge management, knowledge
engineering, logic, algebra and lattice theory.
The 16𝑡ℎ of CLA, CLA 2022, was going to be held in Tallinn, Estonia organized by the
Department of Software Science at Tallinn University of Technology, from June, 20𝑡ℎ , to June,
22𝑡ℎ , 2022. The program of the conference includes five keynote talks given by the following
distinguished researchers:
• Bernard De Baets, (Dept. of Data Analysis and Mathematical Modelling, Ghent University,
Belgium)
• Tarmo Uustalu (Dept. of Computer Science of Reykjavik University, Iceland)
• John F. Sowa (Kyndi, Inc., San Mateo, CA, USA)
• Peter Vojtáš (TCharles University, Prague, Czech Republic)
• Boualem Benatallah (Dublin City University, Ireland)
CLA 2022 received 20 submissions out of which 14 were accepted as full papers. Within the
framework of CLA 2022, a satellite workshop entitled “Existing Tools and Applications for
Formal Conceptual Analysis, ETAFCA’2022” has also been held to promote the different tools
Published in Pablo Cordero, Ondrej Kridlo (Eds.): The 16𝑡ℎ International Conference on Concept Lattices and Their
Applications, CLA 2022, Tallinn, Estonia, June 20–22, 2022, Proceedings, pp. 1–8.
∗
Corresponding author.
Envelope-Open pcordero@uma.es (P. Cordero); ondrej.kridlo@upjs.sk (O. Kridlo)
GLOBE https:http://webpersonal.uma.es/de/pcordero/My_personal_web/Wellcome.html/ (P. Cordero);
https:https://www.upjs.sk/PF/zamestnanec/ondrej.kridlo/ (O. Kridlo)
Orcid 0000-0002-5506-6467 (P. Cordero); 0000-0001-8166-6901 (O. Kridlo)
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
Workshop
Proceedings
http://ceur-ws.org
ISSN 1613-0073
CEUR Workshop Proceedings (CEUR-WS.org)
and illustrate the use of formal conceptual analysis with examples of concrete datasets. This
workshop was organized by Alexandre Bazin, Karell Bertet, Christophe Demko, Pierre Martin
and Ants Torim, and, after peer review, six short papers have been accepted for ETAFCA’2022.
This volume includes all of these contributions.
This edition of CLA also includes a sponsored tutorial entitled “Managing and Linking Data
with KG Using PP Semantic Suite” which was given by Albin Ahmeti and Artem Revenko, a
tutorial entitled “FCA algorithms with the R package fcaR” by Domingo Lopez and Angel Mora,
and another one entitled “Reduction of fuzzy contexts” by Jan Konecny.
We would like to thank all authors and speakers for their extra effort to provide high quality
contributions, and the program committee members and external reviewers for their careful
and timely review of the submissions. We would also like to thank the CLA steering committee
for the opportunity to contribute to the advancement of FCA and related areas. And a special
thanks to the local committee. We are all indebted to you.
We would like to thank our sponsors, namely Semantic Web Company and Tallinn University.
Finally, we also do not forget that the conference was managed (quite easily) with the Easychair
system, for many tasks including paper submission, selection, and reviewing.
Organization
CLA 2022 was organized by Tallinn University of Technology.
Steering Committee
Radim Belohlavek Palacký University Olomouc, Czech Republic
Sadok Ben Yahia Tallinn University of Technology, Estonia
Jean Diatta Université de la Réunion, France
Peter Eklund IT University of Copenhagen, Denmark
Sergei O. Kuznetsov National Research University Higher School of Eco-
nomics, Moscow, Russia
Engelbert Mephu Nguifo LIMOS, CNRS UMR 6158, University Blaise Pascal,
Clermont-Ferrand, France
Amedeo Napoli INRIA NGE/LORIA, Nancy, France
Manuel Ojeda-Aciego Universidad de Málaga, Spain
Jan Outrata Palacký University Olomouc, Czech Republic
Program Chairs
Pablo Cordero Universidad de Malaga, Spain
Ondrej Kridlo Pavol Jozef Šafárik University in Košice, Slovakia
Program Committee
Cristina Alcalde Universidad Del Pais Vasco, UPV/EHU, Spain
Simon Andrews Sheffield Hallam University, United Kingdom
Lubomir Antoni Pavol Jozef Šafárik University in Košice, Slovakia
Gabriela Arevalo Facultad de Ingenieria - Universidad Austral, Ar-
gentina
Jaume Baixeries Ciències de la Computació, Catalonia, Spain
Alexandre Bazin Université de Lorraine, France
Sadok Ben Yahia Tallinn University of Technology, Estonia
Radim Belohlavek Palacký University, Olomouc, Czech Republic
Karell Bertet Laboratory L3I, University of La Rochelle, France
François Brucker Ecole Centrale Marseille, France
Ana Burusco Universidad Publica De Navarra, Spain
Aleksey Buzmakov INRIA-LORIA (CNRS-Université de Lorraine),
Nancy, France
Peggy Cellier IRISA/INSA Rennes, France
Pablo Cordero Universidad de Málaga, Spain
M. Eugenia Cornejo University of Cadiz, Spain
Jean Diatta Université de la Réunion, France
Stephan Doerfel University of Kassel, Germany
Xavier Dolques ICube, Université de Strasbourg/ENGEES, Stras-
bourg, France
Florent Domenach Akita International University, Japan
Manuel Enciso University of Malaga, Spain
Sebastien Ferre Universite de Rennes 1, France
Alain Gély LITA, Université Lorraine, Metz, France
Robert Godin Université du Québec à Montréal, Canada
Dmitry Ignatov National Research University Higher School of Eco-
nomics, Russia
Mehdi Kaytoue LIRIS - INSA de Lyon, France
Stanislav Krajci P. J. Safarik University, Slovak Republic
Ondrej Kridlo Pavol Jozef Šafárik University in Košice, Slovakia
Francesco Kriegel Technische Universität Dresden, Germany
Jan Konecny Palacký University, Olomouc, Czech Republic
Michal Krupka Palacký University, Olomouc, Czech Republic
Marzena Kryszkiewicz Warsaw University of Technology, Poland
Leonard Kwuida Bern University of Applied Sciences, Switzerland
Florence Le Ber ICube, Université de Strasbourg/ENGEES, Stras-
bourg, France
Rokia Missaoui Université du Québec en Outaouais, LARIM, Canada
Jesús Medina Moreno University of Cádiz, Spain
Engelbert Mephu Nguifo LIMOS – Blaise Pascal University – CNRS, France
Angel Mora University of Malaga, Spain
Amedeo Napoli LORIA Nancy, France
Sergei Obiedkov National Research University Higher School of Eco-
nomics, Russia
Manuel Ojeda-Aciego Dept. of Applied Mathematics, University of Malaga,
Spain
Jan Outrata Palacký University, Olomouc, Czech Republic
Jean-Marc Petit Université de Lyon, INSA Lyon, France
Uta Priss Ostfalia University, Germany
Olivier Raynaud LIMOS – Blaise Pascal University – CNRS, France
Sándor Radeleczki Department of Analysis, University of Miskolc, Hun-
gary
François Rioult GREYC CNRS UMR6072 – Université de Caen, France
Sebastian Rudolph Technische Universität Dresden, Germany
Christian Sacarea Babes-Bolyai University, Romania
Barış Sertkaya Frankfurt University of Applied Sciences, Germany
Gerd Stumme University of Kassel, Germany
Laszlo Szathmary University of Debrecen, Hungary
Andreja Tepavcevic University of Novi Sad, Serbia
Petko Valtchev Université du Québec À Montréal, Canada
Francisco J. Valverde-Albacete Universidad Rey Juan Carlos, Madrid, Spain
Bruce Watson Stellenbosch University, South Africa
Yiyu Yao University of Regina, Canada
Additional Reviewers
Francisco-José Ocaña-Alcázar University of Cádiz, Spain
José-Ra. Portillo University of Cádiz, Spain
Organization Committee
Sadok Ben Yahia (Chair) Tallinn University of Technology, Estonia
Monika Perkmann (co-chair) Tallinn University of Technology, Estonia
Plenary talks
Putting order into the ordering of random variables
Bernard De Baets
Department of Data Analysis and Mathematical Modelling.
Ghent University, Belgium.
Abstract: Decision making inevitably involves the comparison and ordering of real variables.
In the presence of uncertainty, this entails the comparison of real-valued random variables. We
briefly review three approaches to such comparison:
1. Stochastic dominance: an approach based on a pointwise comparison of cumulative
distribution functions;
2. Statistical preference: an approach based on a pairwise comparison in terms of winning
probabilities;
3. Probabilistic preference: an approach based on multivariate winning probabilities.
Whereas the first and third approaches are intrinsically transitive, the second approach requires
considerable mathematical effort to unveil the underlying transitivity properties. Moreover,
the first approach ignores the possible dependence between the random variables and is based
on univariate distribution functions, the second approach is by definition built on bivariate
joint distribution functions, while the third approach is based on the overall joint distribution
function.
Monad-comonad interaction laws
Tarmo Uustalu
Dept. of Computer Science of Reykjavik University (Iceland)
Abstract: This talk is not on formal concept analysis, but on a different new application of
Chu sṕaces to computer science, specifically to programming language semantics.
It is standard in this domain to use monads to model notions of computation that involve
effects such as computation with input/output, manipulation of store, nondeterminism. An
effectful computation cannot return a value on its own: it issues requests to the outside world
and needs these responded to make progress. To run, it needs ot be paired with an environment
that can service these requests. Such notions of environment are modelled with comonads.
Protocols of communication between computations and environments admit mathematization
by what we call monad-comonad interaction laws. Those are monoid objects in some category
of Chu spaces.
I will introduce and explain some basics about monad-comonad interaction laws.
Automated and semi-automated tools for interoperable systems
John F. Sowa
Kyndi, Inc., San Mateo, CA, USA
Abstract: In 2000, Tim Berners-Lee proposed a vision for the Semantic Web that was more
ambitious than the tools delivered in 2005. Since then. better technology has been developed for
artificial intelligence, natural language processing, and automated reasoning. But the complexity
of the new tools is beyond the expertise of most programmers. Fortunately, the technology can
also support automated and semi-automated methods that can simplify the interface for both
programmers and end users. This talk surveys technology that can enable anybody at any level
of expertise to use, control, and interact with computer systems.
Galois-Tukey connections in experiments
Peter Vojtáš
Charles University, Prague, Czech Republic
Abstract: We are motivated by the development from Galois-Tukey connections in set-theory
via Question-Answer category in complexity to Challenge-Response reductions of real situations
to models. We describe several experiments (use-case, data, prototype, metrics, evaluation,
comparison) in computer science ranging from recommender systems to web semantization.
We see this as learning of concepts of e.g., user preferred objects or automated tagging.
AI Service Augmentation: Challenges and Directions
Boualem Benatallah
Dublin City University, Ireland
Abstract: AI enabled augmentation promises to transform services through data-driven
automation and insights. The entire service economy is rapidly shifting to AI enabled augmen-
tation, embracing deep changes that are required for increased productivity and effectiveness.
Nonetheless, despite the early adoption, AI augmented service technologies are still only in
their preliminary stages of development, with several unsolved challenges stemming from lack
of computational abstractions and models to reason about ambiguity and uncertainty that are
inherent in data-driven processes. We will revisit abstractions, concepts, and techniques in
data-driven service models and middleware. A key challenge also lies the synergy between hu-
man and machine, crowd and AI – augmentation will seek to achieve bridging the gap between
disparate systems and processes, and between human and machine We will discuss synergies
between intent-based composition, composition synthesis, robotic process automation and
other technologies as step forward to scale AI augmented services enablement. We will discuss
quality control in training data and AI augmented services.