Sorry for duplicates...
-------------------------------------------------------------------------------------------------------------------
-- FCA4AI (Tenth Edition) --
``What can FCA do for Artificial Intelligence?''
co-located with IJCAI-ECAI 2022, Vienna, Austria
July 23 or 24 2022
http://www.fca4ai.hse.ru/2022
-------------------------------------------------------------------------------------------------------------------
General Information.
The preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2021) showed that many researchers working in Artificial Intelligence are indeed interested by powerful techniques for classification and data mining provided by Formal Concept Analysis. Again, we have the chance to organize the 10th edition of the workshop in Vienna, co-located with the IJCAI-ECAI 2022 Conference.
Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many ``natural links'' between FCA and AI.
Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing... While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA.
As usual, the FCA4AI workshop is dedicated to the discussion of such issues, and in particular:
- How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing...
- By contrast, how the current developments in AI can be integrated within FCA to help AI researchers solve complex problems in their domain,
- Which role can be played by FCA in the new trends in AI, especially in ML, XAI, fairness of algorithms, and ``hybrid systems'' combining symbolic and subsymbolic approaches.
TOPICS OF INTEREST include but are not limited to:
- Concept lattices and related structures: pattern structures, relational structures, distributive lattices.
- Knowledge discovery and data mining:
pattern mining, association rules, attribute implications, subgroup discovery, exceptional model mining, data dependencies, attribute exploration, stability, projections, interestingness measures, MDL principle, mining of complex data, triadic and polyadic analysis.
- Knowledge and data engineering: knowledge representation, reasoning, ontology engineering, mining the web of data, text mining, data quality checking.
- Analyzing the potential of FCA in supporting hybrid systems: how to combine FCA and data mining algorithms, such as deep learning for building hybrid knowledge discovery systems, producing explanations, and assessing system fairness.
- Analyzing the potential of FCA in AI tasks such as classification, clustering, biclustering, information retrieval, navigation, recommendation, text processing, visualization, pattern recognition, analysis of social networks.
- Practical applications in agronomy, astronomy, biology, chemistry, finance, manufacturing, medicine...
The workshop will include time for audience discussion aimed at better understanding of of the issues, challenges, and ideas being presented.
IMPORTANT DATES:
Submission deadline: June 06 2022
Notification to authors: July 04 2022
Final version: July 14 2022
Workshop: July 23 or 24 2022
SUBMISSION DETAILS:
The workshop welcomes submissions in pdf format in Springer's LNCS style.
Submissions can be:
- technical papers not exceeding 12 pages,
- system descriptions or position papers on work in progress not exceeding 6 pages.
Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2022
The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-2972, Vol-2729, Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939).
WORKSHOP CHAIRS:
Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia
Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France
Sebastian Rudolph Technische Universität Dresden, Germany
PROGRAM COMMITTEE (under construction)
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Call for Papers
Fourth Workshop on Knowledge-aware and Conversational Recommender Systems (KaRS 2022)
https://kars-workshop.github.io/2022/
Sep. 18th - Sep. 23rd, 2022, Seattle, WA, USA
Submission deadline: August 5th, 2022, AoE
[SCOPE]
We are pleased to invite you to contribute to the Fourth Workshop on Knowledge-aware and Conversational Recommender Systems held in conjunction with the ACM International Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, from September the 18th to September the 23rd, 2022.
In the last few years, a renewed interest of the research community on conversational recommender systems (CRSs) is emerging. This is probably due to the great diffusion of Digital Assistants (DAs) such as Amazon Alexa, Siri, or Google Assistant that are revolutionizing the way users interact with machines. DAs allow users to execute a wide range of actions through an interaction mostly based on natural language messages.
However, although DAs are able to complete tasks such as sending texts, making phone calls, or playing songs, they are still at an early stage on offering recommendation capabilities by using the conversational paradigm.
In addition, we have been witnessing the advent of more and more precise and powerful recommendation algorithms and techniques able to effectively assess users' tastes and predict information that would probably be of interest to them.
Most of these approaches rely on the collaborative paradigm (often exploiting machine learning techniques) and do not take into account the huge amount of knowledge, both structured and non-structured ones, describing the domain of interest of the recommendation engine.
Although very effective in predicting relevant items, collaborative approaches miss some very interesting features that go beyond the accuracy of results and move in the direction of providing novel and diverse results as well as generating an explanation for the recommended items. Furthermore, this side information becomes crucial when a conversational interaction is implemented, in particular for the preference elicitation, explanation, and critiquing steps.
The 4th Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop focuses on all aspects related to the exploitation of external and explicit knowledge sources to feed and build a recommendation engine, and on the adoption of interactions based on the conversational paradigm. The aim is to go beyond the traditional accuracy goal and to start a new generation of algorithms and approaches with the help of the methodological diversity embodied in fields such as Machine Learning (ML), Human-Computer Interaction (HCI), Information Retrieval (IR), and Information Systems (IS). Consequently, the focus lies on works improving the user experience and following goals such as user engagement and satisfaction or customer value.
The aim of this fourth edition of KaRS is to bring together researchers and practitioners around the topics of designing and evaluating novel approaches for recommender systems in order to:
* share research and techniques, including new design technologies and evaluation methodologies;
* identify next key challenges in the area;
* identify emerging topics in the field.
[TOPICS]
This workshop aims at establishing an interdisciplinary community with a focus on the exploitation of (semi-)structured knowledge and conversational approaches for recommender systems and promoting collaboration opportunities between researchers and practitioners.
Topics of interests include, but are not limited to:
- Knowledge-aware Recommender Systems.
- Models and Feature Engineering:
- Knowledge-aware data models based on structured knowledge sources (e.g., Linked Open Data, BabelNet, Wikidata, etc.)
- Semantics-aware approaches exploiting the analysis of textual sources (e.g., Wikipedia, Social Web, etc.)
- Knowledge-aware user modeling
- Methodological aspects (evaluation protocols, metrics, and data sets)
- Logic-based modeling of a recommendation process
- Knowledge Representation and Automated Reasoning for recommendation engines
- Deep learning methods to model semantic features
- Beyond-Accuracy Recommendation Quality:
- Using knowledge-bases and knowledge-graphs to increase recommendation quality(e.g., in terms of novelty, diversity, serendipity, or explainability)
- Explainable Recommender Systems
- Knowledge-aware explanations to recommendations (compliant with the General Data Protection Regulation)
- Online Studies:
- Using knowledge sources for cross-lingual recommendations
- Applications of knowledge-aware recommenders (e.g., music or news recommendation, off-mainstream application areas)
- User studies (e.g., on the user's perception of knowledge-based recommendations), field studies, in-depth experimental offline evaluations
- Conversational Recommender Systems.
- Design of a Conversational Agent:
- Design and implementation methodologies
- Dialogue management (end-to-end, dialog-state-tracker models)
- UX design
- Dialog protocols design
- User Modeling and interfaces:
- Critiquing and user's feedback exploitation
- Short- and Long-term user profiling and modeling
- Preference elicitation
- Natural language-, multi modal-, and voice-based interfaces
- Next-question problem
- Methodological and Theoretical aspects:
- Evaluation and metrics
- Datasets
- Theoretical aspects of conversational recommender systems
[SUBMISSIONS]
Submissions of full research papers must be in English, in PDF format in the CEUR-WS two-column conference format available at:
http://ceur-ws.org/Vol-XXX/CEURART.zip
or at:
https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…
if an Overleaf template is preferred.
Submission will be peer-reviewed and accepted papers will appear in the CEUR workshop series. Papers may range from theoretical works to system descriptions.
We particularly encourage Ph.D. students or Early-Stage Researchers to submit their research. We also welcome contributions from the industry and papers describing ongoing funded projects which may result useful to the Knowledge-aware and Conversational Recommender Systems community.
The conference language is English.
We invite three kinds of submissions, which address novel issues in Knowledge-aware and Conversational Recommender Systems:
* Long Papers should report on substantial contributions of lasting value. The Long papers must have a length of a minimum of 6 and a maximum of 8 pages (plus an unlimited number of pages for references). Each accepted long paper will be included in the CEUR online Workshop proceedings and presented in a plenary session as part of the Workshop program.
* Short/Demo Papers typically discuss exciting new work that is not yet mature enough for a long paper. In particular, novel but significant proposals will be considered for acceptance to this category despite not having gone through sufficient experimental validation or lacking a strong theoretical foundation. Applications of recommender systems to novel areas are especially welcome. The Short/Demo papers must have a length of a minimum of 3 and a maximum of 5 pages (plus an unlimited number of pages for references). Each accepted short paper will be included in the CEUR online Workshop proceedings
* Position/Discussion Papers describe novel and innovative ideas. Position papers may also comprise an analysis of currently unsolved problems, or review these problems from a new perspective, in order to contribute to a better understanding of these problems in the research community. We expect that such papers will guide future research by highlighting critical assumptions, motivating the difficulty of a certain problem, or explaining why current techniques are not sufficient, possibly corroborated by quantitative and qualitative arguments. The Position/Discussion papers must have a length of a minimum of 2 and a maximum of 3 pages (plus an unlimited number of pages for references). Original Position/Discussion accepted papers will be included in the CEUR online Workshop proceedings. Selected Position/Discussion papers will be invited as oral presentations.
The review process is single-blind. Submitted papers will be evaluated according to their originality, technical content, style, clarity, and relevance to the workshop.
Moreover, following the RecSys 2022 guidelines, reviewers will be asked to comment on whether the length is appropriate for the contribution. Shorter papers should generally report on advances that can be described, set into context, and evaluated concisely. Longer papers should reflect substantial contributions of lasting value.
Short and long paper submissions must be original work and may not be under submission to another venue at the time of review.
Accepted papers will appear in the workshop proceedings.
Submission will be through Easychair at:
https://easychair.org/conferences/?conf=kars2022
[IMPORTANT DATES]
* Paper submissions due: August 5th, 2022
* Paper acceptance notification: August 27th, 2022
* Camera ready deadline: September 10th, 2022
* Workshop day: Sep 18th-23rd, 2022
Deadlines refer to 23:59 (11:59pm) in the AoE (Anywhere on Earth) time zone.
Eng. Vito Walter Anelli
Ph.D.
Information Systems Research Group
Department of Electrical & Information Engineering
Polytechnic University of Bari
p: 00390805963641
a: Via Orabona 4
70125 Bari (BA) Italy
w: sisinflab.poliba.it/anelli/ e: vitowalter.anelli(a)poliba.it
Informativa Privacy - Ai sensi del Regolamento (UE) 2016/679 si precisa che le informazioni contenute in questo messaggio sono riservate e ad uso esclusivo del destinatario. Qualora il messaggio in parola Le fosse pervenuto per errore, La preghiamo di eliminarlo senza copiarlo e di non inoltrarlo a terzi, dandocene gentilmente comunicazione. Grazie. Privacy Information - This message, for the Regulation (UE) 2016/679, may contain confidential and/or privileged information. If you are not the addressee or authorized to receive this for the addressee, you must not use, copy, disclose or take any action based on this message or any information herein. If you have received this message in error, please advise the sender immediately by reply e-mail and delete this message. Thank you for your cooperation.
Dear all,
We are looking for candidates for a PhD position on "Relational data analysis on a DBMS – agregation based on relational algebra" inside the Data Science and Knowledge team of ICube Laboratory (Université de Strasbourg - CNRS - ENGEES - INSA).
Position description: [ https://seafile.unistra.fr/f/c30193f9729147f2ac24/ | https://seafile.unistra.fr/f/c30193f9729147f2ac24/ ]
We would be grateful if you could forward this offer to potential candidates.
Best regards,
Agnès Braud.
*(Apologies for possible cross-posting)*
-- Call for participation --
*The Joint Ontology Workshops (JOWO'22)---- Episode VIII: The Svear Summer
of Ontology ----*
15-19th of August 2022
Jönköping, Sweden
Link to IAOA's official JOWO website <http://iaoa.org/jowo/>
Link to JU's event website
<https://ju.se/en/collaboration/events-and-conferences/conferences/jowo-2022…>
*--- The workshops and tutorials are presented at the end ---*
Every year researchers from areas like philosophy, computer
science, linguistics, conceptual modelling and cognitive science gather to
participate in a series of workshops and tutorials related to ontology. The
event is The Joint Ontology Workshops (JOWO), an interdisciplinary
umbrella conference centred on research in and application of ontologies.
Biyearly, JOWO is co-located with FOIS, but being a large enough event on
its own, every other year, JOWO is a freestanding event. The conference
series' continuity is maintained by The International Association for
Ontology and its Applications (IAOA) <https://iaoa.org/>, a non-profit
organization aiming to promote interdisciplinary research and international
collaboration in formal ontology.
Due to its unique format, JOWO offers an inspiring platform in which
participants can engage with new knowledge in tutorials, present their own
innovative findings in workshops, explore new research collaborations from
nearby disciplines and network with researchers and practitioners at the
event's social program. With seven previous episodes, the conference series
has become a regular event on many people's yearly "must-join" lists!
This year's venue is the mid-sized Swedish city of Jönköping. A city for
nature lovers, it is beautifully located at one of Sweden's biggest lakes,
Vättern, and is surrounded by lush forests, hilly hiking trails and even
has a perfectly smooth yellow sand beach (for real!). JOWO itself will take
place at Jönköping University's modern facilities located close to the city
centre.
Following JOWO tradition, this year's episode "The Svear Summer of
Ontology" will be filled with interesting workshops, educational tutorials,
impressive keynote speakers and a not-to-miss social program! At the end of
this promotion email, you will find short introductions to this year's
three tutorials and eight participating workshops.
JOWO's scientific program is based on individual workshop submissions.
Check out the links to the JOWO workshop below and consider submitting your
research to join the summer's hottest ontology event! Information on how to
submit your papers to one of the workshops can be found on the individual
workshop's website.
Stay tuned! More information on this year's unique program and how you can
register is underway!
We look forward to seeing you at JOWO in Jönköping in August!
Local organisers,
Maria Hedblom, Karl Hammar and Tan He
*--- JOWO'22 tutorials ---*
*Generating text from Ontologies in Multiple Languages
<http://www.meteck.org/MoReNL/NLGOntologiesTutorialJOWO22.html>*Maria Keet
and Zola Mahlaza
*Shortened abstract:* Tutorial on the basics of knowledge-to-text
methodology with ontologies. It includes creating templates for different
types of axioms and for different purposes, applying them to an ontology of
choice (BYO) and one from the pre-selected ones, and how to examine
evaluations of ontology verbalisation.
*Implementing better Ontologies with gUFO*Tiago Prince Sales, Joao Paolo A.
Almeida, Giancarlo Guizzardi
*Shortened abstract:* In this tutorial, we will introduce the core
ontological commitments of the Unified Foundational Ontology, discuss how
they were ported to gUFO, and demonstrate how to create domain ontologies
with gUFO using Protegé.
*Knowledge Graphs Tutorial*
Tan He
*Shortened abstract: *Knowledge graphs have emerged as the latest instance
of using graphs for representing and reasoning over data and knowledge. In
the tutorial, participants will get hands-on experience on how to model,
represent, construct and use knowledge graphs by using the Semantic Web
standards and technologies.
*--- JOWO'22 workshops ---*
*CAOS VI: The workshop on Cognition And OntologieS
<https://caos.inf.unibz.it/>*
Guendalina Righetti, Maria M. Hedblom, Oliver Kutz
*Shortened abstract:* CAOS aims to bridge the gap between cognitive science
and formal methods. The interdisciplinary workshop accepts submissions from
any discipline aiming to formally model cognitive phenomena.
*Energy and Sustainability Ontology Workshop
<https://ensusto.github.io/jowo2022/>*Martin Glauer, Janna Hastings, Till
Mossakowski, Fabian Neuhaus
*Shortened abstract: *Energy, and sustainability more broadly, are
increasingly relevant topics in the context of the climate crisis and a
rapidly changing world. This workshop focuses on the development of
ontologies for these domains as well as applications in which such
ontologies are used.
*First Workshop on Formal Models of Knowledge Diversity
<https://sites.google.com/unimib.it/fmkd/home-page>*Lucia Gomez Alvarez,
Rafael Penaloza, Srdjan Vesic
*Shortened abstract:* This workshop intends to create a space of confluence
and a forum for discussion for researchers interested in knowledge
diversity in a wide sense, including diverging perspectives, different
beliefs, semantic heterogeneity and others.
*FOUST VI : The workshop on Foundational Ontology
<https://foust.inf.unibz.it/>*Claudenir M. Fonseca, Jona Thai, Oliver Kutz
and Stefano Borgo
*Shortened abstract: *The purpose of this workshop is to provide a forum
for researchers to present work on specific foundational ontologies as well
as foundational ontologies in general and their relations to each other and
to the wider ontological enterprise.
*IFOW: The Integrated Food Ontology Workshop
<https://foodon.org/ifow-2022-workshop/>*Damion Dooley, Rhiannon Cameron,
Lauren Chan, Duccio Cavalieri, Robert Warren, Hande McGinty, Matthew Lange,
Fernanda Dorea, Jaspreet Ahuja
*Shortened abstract: *This workshop seeks to define the coverage of the
different ecological, agricultural, nutritional, dietary, public health,
one health surveillance, food security, and trade domains that food-related
ontologies are modelling, and the use of data translation tools for
bringing legacy data into the ontology fold.
*Ontologies for Social Services (OSS) <https://csse.utoronto.ca/oss2022>*Bart
Gajderowicz, Daniela Rozu, Janna Hastings
*Shortened abstract: *The purpose of the OSS workshop is to foster
communication and strengthen interdisciplinary work at the intersection of
semantic technologies and social services. We welcome reports from Social
Work practitioners on their experiences using semantic-enabled
technologies, best practices, and insights.
*RobOntics: Ontologies for Autonomous Robotics
<https://robontics2022.github.io/>*Mihai Pomarlan, Mohammed Diab, Stefano
Borgo, Alberto Olivares-Alarcos, Daniel Beßler, Robert Porzel, Aldo Gangemi
*Shortened abstract: *Many research projects, motivated by applications in
healthcare assistance, logistics, autonomous driving etc, aim to bring
robots out of the lab and into realistic human environments. This workshop
focuses on how ontologies can advance robotics research within these areas.
*WOODD: Workshop on Ontologies for the Disaster Domain
<https://shirlysteph.github.io/woodd-jowo22/>*Shirly Stephen, Rui Zhu,
Cogan Shimizu
*Shortened abstract: *There is an increasing interest in semantically
integrating diverse and heterogeneous hazard data sets, along with
representing hazard information in knowledge graphs. However, there are
still significant deficiencies in state-of-the-art ontologies that can
represent and connect hazard data across independent sources and variant
schemas. This workshop aims to address this research gap.
Dear all,
at the Frankfurt University of Applied Sciences a three-year PhD position with an
employement level of 50% is available. The research topic is centered around
learning rules from knowledge graphs.
The deadline for applications is May 10th. For more details on the position
please see the announcement at:
https://www.frankfurt-university.de/fileadmin/standard/Aktuelles/Stellenang…
Knowledge of German language is not a necessity for the position.
Please feel free to forward the announcement to potential candidates and do not
hesitate to contact for more information on the position.
Best regards,
Baris Sertkaya
Sorry for duplicates...
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Workshop ETAFCA’2022
Existing Tools and Applications for Formal Concept Analysis
In conjunction with CLA 2022, June 20th - 22nd, Tallinn, Estonia
-------------------------------------------------------------------------------------------------------------------
SCOPE
-----------
The field of formal concept analysis is reaching a level of maturity where computer tools are beginning to be available. This workshop aims to promote these different tools and to illustrate the use of formal concept analysis with examples of concrete datasets.
The proposed contributions will aim on the one hand to highlight the different platforms developed, in particular through their extensions to formal concept analysis, and on the other hand to justify the contribution of formal concept analysis based on results obtained on real-world datasets.
The contributions to the workshop should present the tools and/or the data and may include but are not limited to the following features:
• Extensions to basic Formal Concept Analysis
• Problem modeling
• Data preprocessing
• Complex data type management
• Very large data analysis
• Application domains
SUBMISSION
-------------------
We invite researchers to submit a short paper of 5-6 pages and follow the typesetting guidelines of CLA paper submissions. Manuscripts should be submitted via EasyChair system at easychair.org/conferences/?conf=etafca2022, and accepted workshop papers will be published in the Supplementary Proceedings of the conference under the CEUR-WS Proceedings.
Each accepted paper must be presented during the workshop, and hence, at least one author per paper has to register timely.
We plan to invite the authors of accepted papers to submit an extended version for publication in a journal.
IMPORTANT DATES
----------------------------
Paper submission: May 6, 2022
Notification of acceptance: May 20, 2022
Camera ready paper: May 27, 2022
(apologies for multiple posts)
Dear all,
We are recruiting at the Institute of Research in Informatics of Toulouse (IRIT, France) a post-doc in the context of a collaboration with Airbus (see details below).
Best regards,
Nathalie Hernandez and Cassia Trojahn
*Context: Collaboration between IRIT and Airbus on the Digital Design, Manufacturing and Services Transformation project*
Digital Design, Manufacturing and Services (DDMS) is the project that aims at transforming Airbus methods, processes and tools with the objectif of improving the strategic axes of the company: from the ability to develop a new product more quickly to its reduction of the ecological footprint. The issues of knowledge representation and sharing are at the heart of the capacities to be implemented in order to succeed in this development. In DDMS, the Modeling & Simulation department is therefore working to have the necessary foundations, in terms of methods and tools, for the knowledge representation and sharing, in relation with other Airbus entities in order to implement an industrial solution.
*Description*
As part of the development of DDMS capabilities in 2021, the tasks that are to be taken into account are the following :
* to align different domain ontologies
* to implement a domain ontology validation mechanism, particularly through the useof shape constraints (SHACL)
* to enable the semantic integration of data (development of an Ontology Based Data Access service).
For each task, the expected activities are:
* the application of knowledge representation to solve the problems of a pilot business application use case in the Airbus environment
* the synthesis of a methodological approach and an architectural solution based on this casea generalized framework to respond to this problem in other areas by applying the methodological principles acquired and synthesized previously.
The proposed pilot case is Flight Dynamics and Sizing, which is responsible, in conjunction with pre-projects and industrialization, for sizing the aircraft according to loads, mass, aerodynamic forces, flight controls in particular.
It is expected to continue on themes such as:
* Automatic publication of ontology documentation
* Managing the criticality of data in ontologies
* Reasoning in the service of extending data sets and checking the consistency of information
* Semantic search in data Searching for ontologies in catalogs (notably using dcat)
*Requirements for this position*
Applicants are required to have a PhD in Computer Science, a strong background in semantic web technologies, ontology engineering, linked data management and query, and if possible, in ontology alignment. Fluency in written / spoken English is required too. A good publication record and strong programing skills will be a plus.
*Work environment*
Localization : Institut de Recherche en Informatique de Toulouse (IRIT) – Universite Toulouse - Jean Jaures / Maison de la Recherche, 5, allees Antonio Machado 31058 Toulouse, and Airbus (St Martin du Touch). *Duration* : 9 months, starting ASAP - probability of renewal 9 to 12 months. Salary between 2 663 to 3953 (depending on experience).
*How to apply*
Applications will be accepted until the position is closed. Applicants should send a full Curriculum including a complete list of publications, a cover letter indicating their research interests, achievements to date and vision for the future, as well as either support letters or the name of 2 persons that have worked with them.
Contact: Nathalie Hernandez <nathalie.hernandez(a)irit.fr> and Cassia Trojahn <cassia.trojahn(a)irit.fr>
*Full description: https://bit.ly/2Ysp6zk*
Sorry for multiple postings
________________________________
IFCS 2022
Classification and Data Science in the Digital Age
17th Conference of the
International Federation of Classification Societies
19th-23rd July 2022 – Porto, Portugal
Conference website: https://ifcs2022.fep.up.pt/
Write to us at: ifcs2022(a)fep.up.pt<mailto:ifcs2022@fep.up.pt>
We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference:
* Genevera Allen (USA)
* Charles Bouveyron (FR)
* Dianne Cook (AUS)
* João Gama (PT)
* * *
Publications
· Post-conference Special Issues:
* Advances in Data Analysis and Classification (ADAC)
* Journal of Classification
* Machine Learning
* EURO Journal on Computational Optimization
Conference topics
Big Data • Biplots • Clustering, Classification and Discrimination • Compositional Data Analysis • Computer Graphics and Visualization • Data Science • Data Science Education • Data Streams • Databases and Data Management • Deep Learning • Dependence Modelling and Copulas • Dimension Reduction • Formal Concept Analysis • Functional Data Analysis • Generalized Linear Models • Image Analysis and Computer Vision • Information-theoretic Statistical Modelling and Model Selection • Knowledge Representation and Discovery • Machine Learning • Mathematical Foundations of Data Science • Matrix Factorization • Meta-learning • Missing Data Handling • Model-based Clustering • Modelling High-Dimensional and Complex Data • Natural Language Processing • Optimization in Classification and Clustering • Pattern Recognition • Robust Methods • Social Network Analysis • Spatial Data Analysis • Statistical and Econometric Methods • Statistical Learning and Data Mining • Symbolic Data Analysis • Text Mining • Time Series Analysis • Web Mining
with Applications in
Archaeology • Astronomy • Biology • Business and Management • Economics • Education • Engineering • Finance • Geosciences • Industry • Linguistics • Marketing • Medicine and Health Care • Musicology • Psychology • Risk Management • Social Sciences
Important dates:
March 31st, 2022 April 15th 2022 - Deadline Submission of Single Abstracts
April 15th, 2022 April 30th, 2022 - Notification to Single Abstract Authors
April 30th, 2022 May 15th 2022- Early registration deadline
June 15th, 2022- Standard registration deadline
after June 15th, 2022 - Late registration deadline
We look forward to meeting you in Porto in July 2022 !
Sorry for duplicates...
-------------------------------------------------------------------------------------------------------------------
-- FCA4AI (Tenth Edition) --
``What can FCA do for Artificial Intelligence?''
co-located with IJCAI-ECAI 2022, Vienna, Austria
July 23 or 24 2022
http://www.fca4ai.hse.ru/2022
-------------------------------------------------------------------------------------------------------------------
General Information.
The preceding editions of the FCA4AI Workshop (from ECAI 2012 until IJCAI 2021) showed that many researchers working in Artificial Intelligence are indeed interested by powerful techniques for classification and data mining provided by Formal Concept Analysis. Again, we have the chance to organize the 10th edition of the workshop in Vienna, co-located with the IJCAI-ECAI 2022 Conference.
Formal Concept Analysis (FCA) is a mathematically well-founded theory aimed at data analysis and classification. FCA allows one to build a concept lattice and a system of dependencies (implications and association rules) which can be used for many AI needs, e.g. knowledge processing, knowledge discovery, knowledge representation and reasoning, ontology engineering as well as information retrieval, recommendation, social network analysis and text processing. Thus, there are many ``natural links'' between FCA and AI.
Recent years have been witnessing increased scientific activity around FCA, in particular a strand of work emerged that is aimed at extending the possibilities of plain FCA w.r.t. knowledge processing, such as work on pattern structures and relational context analysis, as well as on hybridization with other formalisms. These extensions are aimed at allowing FCA to deal with more complex than just binary data, for solving complex problems in data analysis, classification, knowledge processing... While the capabilities of FCA are extended, new possibilities are arising in the framework of FCA.
As usual, the FCA4AI workshop is dedicated to the discussion of such issues, and in particular:
- How can FCA support AI activities in knowledge discovery, knowledge representation and reasoning, machine learning, natural language processing...
- By contrast, how the current developments in AI can be integrated within FCA to help AI researchers solve complex problems in their domain,
- Which role can be played by FCA in the new trends in AI, especially in ML, XAI, fairness of algorithms, and ``hybrid systems'' combining symbolic and subsymbolic approaches.
TOPICS OF INTEREST include but are not limited to:
- Concept lattices and related structures: pattern structures, relational structures, distributive lattices.
- Knowledge discovery and data mining:
pattern mining, association rules, attribute implications, subgroup discovery, exceptional model mining, data dependencies, attribute exploration, stability, projections, interestingness measures, MDL principle, mining of complex data, triadic and polyadic analysis.
- Knowledge and data engineering: knowledge representation, reasoning, ontology engineering, mining the web of data, text mining, data quality checking.
- Analyzing the potential of FCA in supporting hybrid systems: how to combine FCA and data mining algorithms, such as deep learning for building hybrid knowledge discovery systems, producing explanations, and assessing system fairness.
- Analyzing the potential of FCA in AI tasks such as classification, clustering, biclustering, information retrieval, navigation, recommendation, text processing, visualization, pattern recognition, analysis of social networks.
- Practical applications in agronomy, astronomy, biology, chemistry, finance, manufacturing, medicine...
The workshop will include time for audience discussion aimed at better understanding of of the issues, challenges, and ideas being presented.
IMPORTANT DATES:
Submission deadline: May 23 2022
Notification to authors: June 20 2022
Final version: July 01 2022
Workshop: July 23 or 24 2022
SUBMISSION DETAILS:
The workshop welcomes submissions in pdf format in Springer's LNCS style.
Submissions can be:
- technical papers not exceeding 12 pages,
- system descriptions or position papers on work in progress not exceeding 6 pages.
Submissions are via EasyChair at https://easychair.org/conferences/?conf=fca4ai2022
The workshop proceedings will be published as CEUR proceedings (see preceding editions in CEUR Proceedings Vol-2972, Vol-2729, Vol-2529, Vol-2149, Vol-1703, Vol-1430, Vol-1257, Vol-1058, and Vol-939).
WORKSHOP CHAIRS:
Sergei O. Kuznetsov National Research University Higher Schools of Economics, Moscow, Russia
Amedeo Napoli Université de Lorraine, CNRS, Inria, LORIA, Nancy, France
Sebastian Rudolph Technische Universität Dresden, Germany
PROGRAM COMMITTEE (under construction)
-------------------------------------------------------------------------------------------------------------------
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******** PLEASE APOLOGIZE FOR MULTIPLE COPIES *******
****************************************************************************
19th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems
(IPMU 2022)
July 11th-15th, 2022, Milano, Italy
https://ipmu2022.disco.unimib.it/ <https://ipmu2022.disco.unimib.it/>
****************************************************************************
Call for Abstracts
You are welcome to submit a 1-2 page abstract of your work in progress, your newest or position ideas.
The abstract will be reviewed by the program committee and, once accepted, you will be able to participate at the conference to present your research.
Although your abstract will not be published in the CCIS Springer book (where only long papers will appear), it will be included in the book of abstracts, which will have its own ISBN.
The presentation of novel ideas will undoubtedly open up interesting discussions among the participants, leading to potential new collaborations.
We are convinced that the comments you receive during the presentation and the conversations with your colleagues will help you to finalize your work, which may be presented in some special issues of top journals organized after the conference.
Submission
Submit your abstract to the Easychair page https://easychair.org/conferences/?conf=ipmu2022 <https://easychair.org/conferences/?conf=ipmu2022> by selecting the option “abstract only”.
Abstract submission closes on April, 30th.
Acceptance
Acceptance notifications will be distributed as soon as the abstract is reviewed and no later than May, 6th.
**
**
*Postdoc position at MISTEA, INRAE Montpellier, France – Semantic Web,
Data linking*
*Areas:Semantic Web, Linked Data, Data linking, Representation learning *
*Qualifications: PhD in Informatics, AI. Background in knowledge
engineering. *
*Context:ANR DACE-DL
<https://anr.fr/Projet-ANR-21-CE23-0019>(DAta-CEntric AI-driven Data
Linking)*
*Contact & Collaboration:*
*Danai Symeonidou, danai.symeonidou(a)inrae.fr
<mailto:danai.symeonidou@inrae.fr>*
*Clement Jonquet, clement.jonquet(a)inrae.fr
<mailto:clement.jonquet@inrae.fr>*
*Dates:Position available for 2 years. Beginning date is flexible. *
*Location:INRAE, Centre Occitanie-Montpellier, MISTEA
<https://www6.montpellier.inrae.fr/mistea/>research unit*
*Salary:Between 2200€ and 2700€ gross monthly depending on
qualifications and situation. *
*Institut: INRAE is the French research organization in agriculture,
food and environmental sciences; it is a pioneer in France in terms of
data sharing and Open Science commitment. The MathNum research
department gathers around 200 scientists in mathematics and digital
technologies in 13 research units in France. MISTEA is a joint research
unit of INRAE and Montpellier Institut Agro engineering school with
activities in the development of mathematical, statistical and
informatics methods dedicated to analysis and decision support for
agronomy and environment. The team is also recognized for its expertise
in knowledge engineering and ontology-based scientific data management
and information systems.*
*Project context: Data linking is the scientific challenge of
automatically establishing typed links between the entities of two or
more structured datasets. A variety of complex data linking systems
exists, evaluated on public benchmarks [1,2,3]. While they have allowed
for the generation of vast amounts of linked data in the context of
various dedicated projects, data generic systems often have limited
applicability in many real-world scenarios, where data are highly
heterogeneous and domain-specific. The ANR project DACE-DL (2022-2024)
targets a paradigm shift in the data linking field with a data-centric
bottom-up methodology relying on machine learning and representation
learning models [4]. We hypothesize there exists a finite number of
identifiable and generalisable linking problem types (LPTs), that we
need to categorize and analyze to provide better linking results. *
*Topic:The postdoc will work to identify and provide a
categorisation/taxonomy of the different linking problem types based on
an in-depth analysis of the linked datasets provided by the project and
beyond. The first objective is to provide an in-depth analysis of the
linked data available along with an exhaustive study of the
state-of-the-art in the field of data linking. A finite number of
generalisable linking problem types will be classified including the
relations and inherent structure of the LPTs made explicit to both human
and machine. The goal is to answer questions such as: are certain LPTs
or groups of LPTs (e.g. siblings at a given level of the taxonomy)
specific to a domain, language or a community? Are certain LPTs inherent
to specific types of data? Once a formal taxonomy of LPTs is produced,
various datasets will be manually annotated. These annotations on
existing pairs of datasets will be used to learn, using machine learning
strategies, features for the automatic categorization of other datasets.
The postdoc will co-supervise a PhD student working on the machine
learning methods.*
*Application: Send application to the contact emails including:*
*
*a short description of introducing yourself *
*
*your adequacy to the position *
*
*a CV and *
*
*one major publication*
*References*
*[1] M. Nentwig, (...) E. Rahm. A survey of current link discovery
frameworks, Semantic Web, 2017.*
*[2] Euzenat, J., (...), Trojahn, C. Ontology matching benchmarks:
generation, stability, and discriminability. Web Semantics, 2013.*
*[3] Zhou, L, (...), Trojahn, C., Zamazal, O: Towards evaluating complex
ontology alignments. Knowl. Eng. Rev., 2020.*
*[4] Todorov, K. Datasets First! A Bottom-up Data Linking Paradigm. ISWC
2019 Satellite Tracks, Auckland, New Zealand, October 26-30, 2019.*
*
*
*ICCS 2022: 27th International Conference on Conceptual Structures*
Münster, Germany, September 12-15, 2022
Conference website: https://iccs-conference.org/
Abstract registration: March 25 (was: March 11, 2022)
Submission deadline: April 1 (was: March 18, 2022)
The International Conferences on Conceptual Structures (ICCS) focus on
the formal analysis and representation of conceptual knowledge, at the
crossroads of artificial intelligence, human cognition, computational
linguistics, and related areas of computer science and cognitive
science. The ICCS conferences evolved from a series of seven annual
workshops on conceptual graphs, starting with an informal gathering
hosted by John F. Sowa in 1986. Recently, graph-based knowledge
representation and reasoning (KRR) paradigms are getting more and more
attention. With the rise of quasi-autonomous AI, graph-based
representations provide a vehicle for making machine cognition
explicit to its human users.
Submissions are invited on significant, original, and previously
unpublished research on the formal analysis and representation of
conceptual knowledge in artificial intelligence (AI). All papers will
receive mindful and rigorous reviews that will provide authors with
useful critical feedback. The aim of the ICCS 2022 conference is to
build upon its long-standing expertise in graph-based KRR and focus on
providing modelling, formal and application results of graph-based
systems. The conference welcomes contributions that address
graph-based representation and reasoning paradigms (e.g. Bayesian
Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs
(CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph
Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a
modelling, theoretical and application viewpoint.
*Topics*
Topics include but are not limited to:
- Existential and Conceptual Graphs
- Graph-based models for human reasoning
- Social network analysis
- Formal Concept Analysis
- Conceptual knowledge acquisition
- Data and Text mining
- Human and machine reasoning under inconsistency
- Human and machine knowledge representation and uncertainty
- Automated decision-making and argumentation
- Preferences
- Contextual logic
- Ontologies
- Knowledge architecture and management
- Semantic Web, Web of Data, Web 2.0
- Conceptual structures in natural language processing and linguistics
- Metaphoric, cultural or semiotic considerations
- Constraint satisfaction
- Resource allocation and agreement technologies
- Philosophical, neural, and didactic investigations of conceptual,
graphical representations
*Submission Information*
We invite scientific papers of up to fourteen pages, short
contributions up to eight pages. Papers must be formatted according to
Springer’s LNCS style guidelines and not exceed the page limit. Papers
will be subject to double-blind peer review, in which the reviewers do
not know the author’s identity, and the submission should be done via
EasyChair (https://easychair.org/conferences/?conf=iccs20220). All
paper submissions will be refereed and authors will have the
opportunity to respond to reviewers’ comments during the rebuttal
phase. Accepted papers will be included in the conference proceedings,
published by Springer in the LNCS/LNAI series. At least one author of
each accepted paper must register for the conference and present the
paper there. Proceedings will be submitted for indexation by DBLP.
*Review Process*
Papers will be subject to double blind peer review in which the
reviewers do not know the author’s identity. In order to make blind
reviewing possible, authors must omit their names and affiliations
from the paper. Also, while the references should not include
unpublished work. When referring to one’s own work, use the third
person rather than the first person. Such identifying information can
be added back to the final camera-ready version of accepted
papers. Similarly, reviewers should not reveal their identities within
the paper reviews. The review process will include the opportunity for
authors to see the reviews of their papers and to respond to technical
questions raised by the reviewers before discussion starts within the
Program Committee. The decision of the Program Committee will be final
and cannot be appealed.
*Program Committee (tentative)*
- Simon Andrews – Sheffield Hallam University
- Moulin Bernard – Laval University
- Peggy Cellier – IRISA/INSA Rennes
- Peter Chapman – Edinburgh Napier University
- Madalina Croitoru – LIRMM, Univ. Montpellier II
- Licong Cui – The University of Texas Health Science Center at Houston
- Harry Delugach – University of Alabama in Huntsville
- Florent Domenach – Akita International University
- Dominik Endres – University of Marburg
- Jérôme Euzenat – INRIA & Univ. Grenoble Alpes
- Catherine Faron Zucker – Université Nice Sophia Antipolis
- Marcel Gehrke – University of Lübeck
- Raji Ghawi – Technical University of Munich
- Ollivier Haemmerlé – IRIT, Univ. Toulouse le Mirail
- Tom Hanika – Knowledge and Data Engineering, University of Kassel
- Nathalie Hernandez – IRIT
- Dmitry Ignatov – National Research University Higher School of Economics
- Adil Kabbaj – INSEA
- Hamamache Kheddouci – Universit Claude Bernard
- Léonard Kwuida – Bern University of Applied Sciences
- Jérôme Lang – CNRS, LAMSADE, Université Paris-Dauphine
- Natalia Loukachevitch – Research Computing Center of Moscow State
University
- Philippe Martin – UEA2525 LIM, Uni. of La Réunion
- Franck Michel – Université Côte d’Azur, CNRS, I3S
- Amedeo Napoli – LORIA Nancy (CNRS - Inria - Université de Lorraine)
- Sergei Obiedkov – National Research University Higher School of Economics
- Nathalie Pernelle – LIPN, Université Sorbonne Paris Nord
- Simon Polovina – Sheffield Hallam University
- Sebastian Rudolph – TU Dresden
- Christian Sacarea – Babes-Bolyai University
- Fatiha Saïs – LRI (Paris Sud University &CNRS8623), Paris Saclay
University
- Gerd Stumme – University of Kassel
- Srdjan Vesic – CRIL, CNRS – Univ. Artois
- Guoqiang Zhang – UTHealth
- Diana Șotropa – Babes-Bolyai University
*Organizing committee*
- Tanya Braun – University of Münster (General Chair)
- Diana Cristea – Babeș-Bolyai University Cluj-Napoca (Program Chair)
- Robert Jäschke – Humboldt-Universität zu Berlin (Program Chair)
--
Prof. Dr. Robert Jäschke
Humboldt University Berlin & L3S Research Center Hannover
< https://amor.cms.hu-berlin.de/~jaeschkr/ >< +49 (0)30 2093-70960 >
< https://weltliteratur.net/ >>>>><<<<< https://dev.bibsonomy.org/ >
Dear friend,
In the last call for papers there was a small mistake. The deadline for submitting abstracts is March 20 and the deadline for submitting the full paper is March 28. Please excuse the inconvenience.
Kind regards,
Pablo Cordero
The 16th International Conference on Concept Lattices and Their Applications
June 20–22, 2022. Tallinn, Estonia
CLA 2022 Webpage: https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2020/>
**** Extended versions of selected papers will be invited for possible inclusion in the
International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR)
CLA2022: The 16th International Conference on Concept Lattices and Their Applications
Tallinn University of Technology
Tallinn, Estonia, June 20-22, 2022
Conference website https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
Submission link https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
Abstract registration deadline March 20, 2022
Submission deadline March 28, 2022
Scope and Areas
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, workshops, tutorials, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
Those areas include but are not restricted to:
foundations,
concept lattices and related structures,
attribute implications and data dependencies,
algorithms,
visualization,
data preprocessing,
redundancy and dimensionality reduction,
information retrieval,
classification,
clustering,
association rules and other data dependencies,
ontologies,
applications to software engineering, programming languages, data mining, machine learning, linguistics ...
Important Dates
Abstract submission: March 6, 2022. March 20, 2022.
Paper submission: March 13, 2022. March 28, 2022.
Notification of acceptance/rejection: April 17, 2022. April 27, 2022.
Camera-ready papers due: May 8, 2022. May 15, 2022.
Conference date: June 20--22, 2022.
Paper Submission and Publication
Papers of up to 12 pages may be submitted in PDF or Postscript format.
Papers need to be formatted using the Springer Lecture Notes in Computer Science style (http://www.springer.de/comp/lncs/authors.html <http://www.springer.de/comp/lncs/authors.html>).
The submission is to be done via https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
All papers will be judged based on their technical merits, originality, relevance to areas of interest, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and will not be submitted elsewhere during CLA 2022's review period.
Accepted papers will be published in conference proceedings (with ISBN), available at the conference (printed) and at CEUR Workshop Proceedings and CLA Homepage (online).
Selected papers accepted to CLA 2022 will be invited to further revise and extend their work in a special issue of the International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR) entitled "Recent advances and trends in Concept Lattices and their Applications".
Invited Speakers
Bernard De Baets, KERMIT, Ghent University, Belgium (https://ai.ugent.be/people/BernardDeBaets.en.html <https://ai.ugent.be/people/BernardDeBaets.en.html>)
Radko Mesiar, Slovak University of Technology (STU) Bratislava, Slovakia (https://www.math.sk/mesiar/ <https://www.math.sk/mesiar/>)
John F. Sowa, Kyndi, Inc., San Mateo, CA, USA (http://www.jfsowa.com <http://www.jfsowa.com/>)
Peter Vojtáš, Charles University, Prague, Czech Republic (https://www.ksi.mff.cuni.cz/~vojtas/ <https://www.ksi.mff.cuni.cz/~vojtas/>)
Program co-chairs
Pablo Cordero (Universidad de Málaga, Spain)
Ondrej Kridlo (Pavol Jozef Safárik University in Kosice, Slovakia)
Organization Committee Chair
Sadok Ben Yahia, Tallinn University of Technology, Estonia
Program Committee
Cristina Alcalde, Universidad Del Pais Vasco, UPV/EHU, Spain
Simon Andrews, Sheffield Hallam University, United Kingdom
Lubomir Antoni, P. J. Safarik University, Košice, Slovakia
Gabriela Arevalo, Facultad de Ingenieria - Universidad Austral, Argentina
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, Strasbourg, France
Florent Domenach, University of Nicosia, Cyprus
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 Economics, Russia
Mehdi Kaytoue, LIRIS - INSA de Lyon, France
Jan Konecny, Palacký University, Olomouc, Czech Republic
Stanislav Krajci, P. J. Safarik University, Slovakia
Ondrej Kridlo, P. J. Safarik University, Košice, Slovakia
Francesco Kriegel, Technische Universität Dresden, Germany
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, Strasbourg, France
Jesús Medina Moreno, University of Cádiz, Spain
Engelbert Mephu Nguifo, LIMOS - Blaise Pascal University - CNRS, France
Rokia Missaoui, Université du Québec en Outaouais, LARIM, Canada
Angel Mora, University of Malaga, Spain
Amedeo Napoli, LORIA Nancy, France
Sergei Obiedkov, National Research University Higher School of Economics, 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, Hungary
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
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 Economics, 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
Venue
The CLA'2022 conference will be held in Tallinn University of Technology, Estonia, from 20-22 June, 2022.
Contact
All questions about submissions should be emailed to pcordero(a)uma.es <mailto:pcordero@uma.es> or ondrej.kridlo(a)upjs.sk <mailto:ondrej.kridlo@upjs.sk>.
CLA 2022 Webpage: https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
CLA Homepage: http://cla.inf.upol.cz <http://cla.inf.upol.cz/>
[cid:24b3aa42-3024-4865-bb55-da071ae9f45c]
Sorry for multiple postings
Call for Papers
IFCS 2022
17th Conference of the
International Federation of Classification Societies
19th-23rd July 2022 – Porto, Portugal
Conference website: https://ifcs2022.fep.up.pt/
Write to us at: ifcs2022(a)fep.up.pt<mailto:ifcs2022@fep.up.pt>
We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference:
* Genevera Allen (USA)
* Charles Bouveyron (FR)
* Dianne Cook (AUS)
* João Gama (PT)
* * *
Publications
· Post-conference Special Issues:
* Advances in Data Analysis and Classification (ADAC)
* Journal of Classification
* Machine Learning
* EURO Journal on Computational Optimization
Conference topics
Big Data • Biplots • Clustering, Classification and Discrimination • Compositional Data Analysis • Computer Graphics and Visualization • Data Science • Data Science Education • Data Streams • Databases and Data Management • Deep Learning • Dependence Modelling and Copulas • Dimension Reduction • Formal Concept Analysis • Functional Data Analysis • Generalized Linear Models • Image Analysis and Computer Vision • Information-theoretic Statistical Modelling and Model Selection • Knowledge Representation and Discovery • Machine Learning • Mathematical Foundations of Data Science • Matrix Factorization • Meta-learning • Missing Data Handling • Model-based Clustering • Modelling High-Dimensional and Complex Data • Natural Language Processing • Optimization in Classification and Clustering • Pattern Recognition • Robust Methods • Social Network Analysis • Spatial Data Analysis • Statistical and Econometric Methods • Statistical Learning and Data Mining • Symbolic Data Analysis • Text Mining • Time Series Analysis • Web Mining
with Applications in
Archaeology • Astronomy • Biology • Business and Management • Economics • Education • Engineering • Finance • Geosciences • Industry • Linguistics • Marketing • Medicine and Health Care • Musicology • Psychology • Risk Management • Social Sciences
Important dates:
March 31st, 2022 - Deadline Submission of Single Abstracts
April 14th, 2022 - Notification to Single Abstract Authors
April 30th, 2022- Early registration deadline
June 15th, 2022- Standard registration deadline
after June 15th, 2022 - Late registration deadline
We look forward to meeting you in Porto in July 2022 !
* We apologize if you receive multiple copies of this CfP *
* For the online version of this Call, visit: https://recsys.acm.org/recsys22/challenge/ *
The RecSys Challenge 2022 will be organized by Dressipi (https://dressipi.com/), Bruce Ferwerda (Jönköping University, Sweden), Saikishore Kalloori (ETH Zürich, Switzerland), and Abhishek Srivastava (IIM Jammu, India).
The 2022 RecSys challenge focuses on fashion recommendations; given a sequence of item views, the label data for those items, and the label data for all candidate items, the task is to predict the item that was purchased in the session.
As part of the challenge, Dressipi will be releasing a public dataset of 1 million online retail sessions that resulted in a purchase. In addition all items in the dataset have been labeled with content data and the labels are supplied. We refer to the label data as item features (e.g., color, neckline, etc.). The labels have been assigned using Dressipi’s human-in-the-loop system where fashion experts review, correct and confirm the correctness of the labels, so we expect this to be a dataset of high accuracy and quality. The dataset is sampled and anonymized.
In the fashion domain items churn at a very high rate and using content data is essential. In this challenge a portion of the test purchases we evaluate against will be newer items that have little or no past interaction data. However, these candidate items will have label data and can be recommended successfully if we can identify which labels a user session has a preference for. This is an accurate reflection of what happens in the real world, where items are available to us to preview and apply content data before they go live, but when they go live we have to be able to recommend them accurately straight away.
A detailed description of the challenge is available on the website of the RecSys Challenge 2022 (http://www.recsyschallenge.com/2022/). Accepted contributions will be presented during the RecSys Challenge Workshop in 2022.
CHALLENGE ORGANIZERS
Nick Landia, Dressipi
Bruce Ferwerda, Jönköping University
Saikishore Kalloori, ETH Zürich
Abhishek Srivastava, IIM Jammu
Frederick Cheung, Dressipi
Donna North, Dressipi
ADVISOR
Vito Walter Anelli, Politecnico di Bari
Apologies for multiple-postings.
—————————————————————
Extended Deadline (March 20, 2022) - Call For Papers - CLA 2022
The 16th International Conference on Concept Lattices and Their Applications
June 20–22, 2022
Tallinn, Estonia
CLA 2022 Webpage
https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2020/>
**** Extended versions of selected papers will be invited for possible inclusion in the
International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR)
CLA2022: The 16th International Conference on Concept Lattices and Their Applications
Tallinn University of Technology
Tallinn, Estonia, June 20-22, 2022
Conference website https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
Submission link https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
Abstract registration deadline March 20, 2022
Submission deadline March 27, 2022
Scope and Areas
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, workshops, tutorials, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
Those areas include but are not restricted to:
foundations,
concept lattices and related structures,
attribute implications and data dependencies,
algorithms,
visualization,
data preprocessing,
redundancy and dimensionality reduction,
information retrieval,
classification,
clustering,
association rules and other data dependencies,
ontologies,
applications to software engineering, programming languages, data mining, machine learning, linguistics ...
Important Dates
Abstract submission: March 6, 2022. March 20, 2022.
Paper submission: March 13, 2022. March 27, 2022.
Notification of acceptance/rejection: April 17, 2022. April 27, 2022.
Camera-ready papers due: May 8, 2022. May 15, 2022.
Conference date: June 20--22, 2022.
Paper Submission and Publication
Papers of up to 12 pages may be submitted in PDF or Postscript format.
Papers need to be formatted using the Springer Lecture Notes in Computer Science style (http://www.springer.de/comp/lncs/authors.html <http://www.springer.de/comp/lncs/authors.html>).
The submission is to be done via https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
All papers will be judged based on their technical merits, originality, relevance to areas of interest, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and will not be submitted elsewhere during CLA 2022's review period.
Accepted papers will be published in conference proceedings (with ISBN), available at the conference (printed) and at CEUR Workshop Proceedings and CLA Homepage (online).
Selected papers accepted to CLA 2022 will be invited to further revise and extend their work in a special issue of the International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR) entitled "Recent advances and trends in Concept Lattices and their Applications".
Invited Speakers
Bernard De Baets, KERMIT, Ghent University, Belgium (https://ai.ugent.be/people/BernardDeBaets.en.html <https://ai.ugent.be/people/BernardDeBaets.en.html>)
Radko Mesiar, Slovak University of Technology (STU) Bratislava, Slovakia (https://www.math.sk/mesiar/ <https://www.math.sk/mesiar/>)
John F. Sowa, Kyndi, Inc., San Mateo, CA, USA (http://www.jfsowa.com <http://www.jfsowa.com/>)
Peter Vojtáš, Charles University, Prague, Czech Republic (https://www.ksi.mff.cuni.cz/~vojtas/ <https://www.ksi.mff.cuni.cz/~vojtas/>)
Program co-chairs
Pablo Cordero (Universidad de Málaga, Spain)
Ondrej Kridlo (Pavol Jozef Safárik University in Kosice, Slovakia)
Organization Committee Chair
Sadok Ben Yahia, Tallinn University of Technology, Estonia
Program Committee
Cristina Alcalde, Universidad Del Pais Vasco, UPV/EHU, Spain
Simon Andrews, Sheffield Hallam University, United Kingdom
Lubomir Antoni, P. J. Safarik University, Košice, Slovakia
Gabriela Arevalo, Facultad de Ingenieria - Universidad Austral, Argentina
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, Strasbourg, France
Florent Domenach, University of Nicosia, Cyprus
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 Economics, Russia
Mehdi Kaytoue, LIRIS - INSA de Lyon, France
Jan Konecny, Palacký University, Olomouc, Czech Republic
Stanislav Krajci, P. J. Safarik University, Slovakia
Ondrej Kridlo, P. J. Safarik University, Košice, Slovakia
Francesco Kriegel, Technische Universität Dresden, Germany
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, Strasbourg, France
Jesús Medina Moreno, University of Cádiz, Spain
Engelbert Mephu Nguifo, LIMOS - Blaise Pascal University - CNRS, France
Rokia Missaoui, Université du Québec en Outaouais, LARIM, Canada
Angel Mora, University of Malaga, Spain
Amedeo Napoli, LORIA Nancy, France
Sergei Obiedkov, National Research University Higher School of Economics, 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, Hungary
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
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 Economics, 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
Venue
The CLA'2022 conference will be held in Tallinn University of Technology, Estonia, from 20-22 June, 2022.
Contact
All questions about submissions should be emailed to pcordero(a)uma.es <mailto:pcordero@uma.es> or ondrej.kridlo(a)upjs.sk <mailto:ondrej.kridlo@upjs.sk>.
CLA 2022 Webpage: https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
CLA Homepage: http://cla.inf.upol.cz <http://cla.inf.upol.cz/>
******** PLEASE APOLOGIZE FOR MULTIPLE COPIES *******
****************************************************************************
19th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems
* (IPMU 2022)*
July 11th-15th, 2022, Milano, Italy
https://ipmu2022.disco.unimib.it/
****************************************************************************
*Call for Abstracts*
You are welcome to submit a 1-2 page abstract of your work in progress,
your newest or position ideas.
The abstract will be reviewed by the program committee and, once accepted,
you will be able to participate at the conference to present your research.
Although your abstract will not be published in the CCIS Springer book
(where only long papers will appear), it will be included in the book of
abstracts, which will have its own ISBN.
The presentation of novel ideas will undoubtedly open up interesting
discussions among the participants, leading to potential new
collaborations.
We are convinced that the comments you receive during the presentation and
the conversations with your colleagues will help you to finalize your work,
which may be presented in some special issues of top journals organized
after the conference.
*Submission *
Submit your abstract to the Easychair page
https://easychair.org/conferences/?conf=ipmu2022 by selecting the option
“abstract only”.
Abstract submission opens on March, 7th and closes on April, 30th.
*Acceptance *
Acceptance notifications will be distributed after April, 1st and as soon
as the abstract is reviewed.
Apologies for multiple-postings.
—————————————————————
3rd and final Call For Papers - CLA 2022
The 16th International Conference on Concept Lattices and Their Applications
June 20–22, 2022
Tallinn, Estonia
CLA 2022 Webpage
https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2020/>
**** Extended versions of selected papers will be invited for possible inclusion in the
International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR)
CLA2022: The 16th International Conference on Concept Lattices and Their Applications
Tallinn University of Technology
Tallinn, Estonia, June 20-22, 2022
Conference website https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
Submission link https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
Abstract registration deadline March 6, 2022
Submission deadline March 13, 2022
Scope and Areas
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, workshops, tutorials, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
Those areas include but are not restricted to:
foundations,
concept lattices and related structures,
attribute implications and data dependencies,
algorithms,
visualization,
data preprocessing,
redundancy and dimensionality reduction,
information retrieval,
classification,
clustering,
association rules and other data dependencies,
ontologies,
applications to software engineering, programming languages, data mining, machine learning, linguistics ...
Important Dates
Abstract submission: March 6, 2022.
Paper submission: March 13, 2022.
Notification of acceptance/rejection: April 17, 2022.
Camera-ready papers due: May 8, 2022.
Conference date: June 20--22, 2022.
Paper Submission and Publication
Papers of up to 12 pages may be submitted in PDF or Postscript format.
Papers need to be formatted using the Springer Lecture Notes in Computer Science style (http://www.springer.de/comp/lncs/authors.html <http://www.springer.de/comp/lncs/authors.html>).
The submission is to be done via https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
All papers will be judged based on their technical merits, originality, relevance to areas of interest, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and will not be submitted elsewhere during CLA 2022's review period.
Accepted papers will be published in conference proceedings (with ISBN), available at the conference (printed) and at CEUR Workshop Proceedings and CLA Homepage (online).
Selected papers accepted to CLA 2022 will be invited to further revise and extend their work in a special issue of the International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR) entitled "Recent advances and trends in Concept Lattices and their Applications".
Invited Speakers
Bernard De Baets, KERMIT, Ghent University, Belgium (https://ai.ugent.be/people/BernardDeBaets.en.html <https://ai.ugent.be/people/BernardDeBaets.en.html>)
Radko Mesiar, Slovak University of Technology (STU) Bratislava, Slovakia (https://www.math.sk/mesiar/ <https://www.math.sk/mesiar/>)
John F. Sowa, Kyndi, Inc., San Mateo, CA, USA (http://www.jfsowa.com <http://www.jfsowa.com/>)
Peter Vojtáš, Charles University, Prague, Czech Republic (https://www.ksi.mff.cuni.cz/~vojtas/ <https://www.ksi.mff.cuni.cz/~vojtas/>)
Program co-chairs
Pablo Cordero (Universidad de Málaga, Spain)
Ondrej Kridlo (Pavol Jozef Safárik University in Kosice, Slovakia)
Organization Committee Chair
Sadok Ben Yahia, Tallinn University of Technology, Estonia
Program Committee
Cristina Alcalde, Universidad Del Pais Vasco, UPV/EHU, Spain
Simon Andrews, Sheffield Hallam University, United Kingdom
Lubomir Antoni, P. J. Safarik University, Košice, Slovakia
Gabriela Arevalo, Facultad de Ingenieria - Universidad Austral, Argentina
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, Strasbourg, France
Florent Domenach, University of Nicosia, Cyprus
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 Economics, Russia
Mehdi Kaytoue, LIRIS - INSA de Lyon, France
Jan Konecny, Palacký University, Olomouc, Czech Republic
Stanislav Krajci, P. J. Safarik University, Slovakia
Ondrej Kridlo, P. J. Safarik University, Košice, Slovakia
Francesco Kriegel, Technische Universität Dresden, Germany
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, Strasbourg, France
Jesús Medina Moreno, University of Cádiz, Spain
Engelbert Mephu Nguifo, LIMOS - Blaise Pascal University - CNRS, France
Rokia Missaoui, Université du Québec en Outaouais, LARIM, Canada
Angel Mora, University of Malaga, Spain
Amedeo Napoli, LORIA Nancy, France
Sergei Obiedkov, National Research University Higher School of Economics, 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, Hungary
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
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 Economics, 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
Venue
The CLA'2022 conference will be held in Tallinn University of Technology, Estonia, from 20-22 June, 2022.
Contact
All questions about submissions should be emailed to pcordero(a)uma.es <mailto:pcordero@uma.es> or ondrej.kridlo(a)upjs.sk <mailto:ondrej.kridlo@upjs.sk>.
CLA 2022 Webpage: https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
CLA Homepage: http://cla.inf.upol.cz <http://cla.inf.upol.cz/>
Pablo J. Cordero Ortega
Dpto. Matemática Aplicada
E.T.S. Ing. de Telecomunicación
Universidad de Málaga, Spain
Url: http://webpersonal.uma.es/de/pcordero
Tfno. 952137165
Email: pcordero(a)uma.es
Call for papers, extended deadline!
Hybrid Human-Artificial Intelligence (HHAI)
June 13-17 2022, Amsterdam
New Deadlines:
Abstract submission: March 5th 2022
Paper submission: March 12th 2022
Author notification: April 18 2022
Camera-ready submission: May 2nd 2022
Main conference: 13-17 June 2022
All deadlines are at the end of the day specified, anywhere on Earth (UTC-12).
Hybrid Human-Artificial Intelligence (HHAI) is the first international conference
focusing on the study of Artificial Intelligent systems that cooperate synergistically,
proactively and purposefully with humans, amplifying instead of replacing human intelligence.
HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive,
collaborative, responsible, interactive and human-centered intelligent systems that leverage
human strengths and compensate for human weaknesses, while taking into account social, ethical
and legal considerations. This field of study is driven by current developments in AI, but
also requires fundamentally new approaches and solutions. In addition, we need collaboration
with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems,
and others. In this first international conference, we invite scholars from these fields to
submit their best original, new as well as in progress, visionary and existing work on
Hybrid Human-Artificial Intelligence.
We welcome research on the different challenges in Hybrid Human-Artificial Intelligence. The
following list of topics is illustrative, not exhaustive.
* Human-AI interaction and collaboration
* Adaptive human-AI co-learning and co-creation
* Learning, reasoning and planning with humans and machines in the loop
* User modelling and personalisation
* Integration of learning and reasoning
* Transparent, explainable and accountable AI
* Fair, ethical, responsible and trustworthy AI
* Societal awareness of AI
* Multimodal machine perception of real world settings
* Social signal processing
We welcome contributions about all types of technology, from robots and conversational agents
to multi-agent systems and machine learning models.
This first edition of Hybrid Human-Artificial Intelligence is organized by the Hybrid Intelligence
Centre (https://www.hybrid-intelligence-centre.nl/ ) and the Humane-AI European Network
(https://www.humane-ai.eu/ ) .
Paper types
In this conference, we wish to stimulate the exchange of novel ideas and interdisciplinary
perspectives. To do this, we will accept three different types of papers:
* Full papers present original, impactful work (12 pages excluding references)
* Working papers present work in progress or new and visionary ideas (8 pages excluding. references)
* Extended abstracts present existing, pre-published work (4 pages excluding references)
Accepted full papers will be published in the Proceedings of the First International Conference on
Hybrid Human-Machine Intelligence, in the Frontiers of AI series by IOS Press. Abstracts of working
papers and existing work can be included in these proceedings, unless the authors request the
abstracts to remain unpublished.
All accepted papers will receive a minimum slot for oral presentation of 15 minutes. Depending on
the content and quality of the work, some papers will be selected for longer presentations.
Location
This will be an in-person, single-track conference, held in Amsterdam, the Netherlands. Pending local
and global Covid measures at the time of the conference, we will provide options to attend virtually.
The conference will be hosted at the Vrije Universiteit Amsterdam.
Reviewing process & Submission guidelines
Reviewing will be single anonymized, as we are welcoming existing work and references to previous work
from the submitting authors.
Submissions of full and working papers should be original work and ideas without substantial overlap
with pre-published papers. Extended abstracts can present previously published work.
On acceptance, at least 1 author should attend the conference. A significant contribution is expected
from all authors. A justification of contributions in the paper is appreciated.
All studies involving human participants should have received human-research ethics consent from the
relevant institutions and mention this in the paper.
All submissions should adhere to IOS formatting guidelines. A template for LateX can be found here,
and for Word here. Papers should be written in English.
Work should be submitted in .pdf format via easychair: https://easychair.org/conferences/?conf=hhai2022
Contact information
Keep an eye out on our website for more information: https://www.hybrid-intelligence-centre.nl/HHAI-2022
General chair: Stefan Schlobach (VU)
Program chairs: Myrthe Tielman (TUDelft) & Maria Perez-Ortiz (UCL)
For questions, you can reach us at: hhai2022(a)easychair.org<mailto:hhai2022@easychair.org>
(with apologies for cross-postings)
Please consider forwarding this information to anyone that can be
interested.
------------------------------------------------------------------------------------
*Special Session on Formal concept analysis and uncertainty*
=================================================
A special session at the 19th International Conference on Information
Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU
2022, that will be held in Milan (Italy) on July 11th – 15th.
Conference website: https://ipmu2022.disco.unimib.it/
Objectives and topics
=================
Over the last few years, research on extending FCA theory to deal with
imprecise and incomplete information has advanced significantly: Fuzzy
Formal Conceptual Analysis, FCA with granular computation, interval-valued,
possibility theory, triadic FCA and others aim to deal with uncertainty and
vagueness in data.
This session aims to gather a number of researchers concerning FCA and
imprecision in data management. The topics include but not are limited to:
- Theoretical foundations in FCA
- Logic and fuzzy logic in FCA
- Attribute implications, association rules and data dependencies
- Redundancy and dimensionality reduction
- Knowledge discovery and data analysis
- Conceptual Exploration
- Ontologies
- Algorithms and applications
Publication
=========
The conference proceedings will be published in Communications in Computer
and Information Science (CCIS) with Springer. CCIS is abstracted/indexed in
DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, SCImago, Scopus.
CCIS volumes will also be submitted for inclusion in ISI Proceedings
(Web-of-Science).
Submissions
===========
The submission must be written in English using the LaTeX2e Springer class
file (LNCS/CCIS one-column page format). The length of submission is at
most 12 pages in this format and may be submitted in PDF via the EasyChair
system at:
https://easychair.org/conferences/directory?a=26272215
In the system, you can choose the "Formal concept analysis and uncertainty"
topic.
The submission rules are available in
https://ipmu2022.disco.unimib.it/submission/
Important dates
============
Submission of full papers: 14 January 2022
Notification of acceptance: 1 March 2022
Camera-ready copies due: 15 April 2022
Conference: 11 - 15 July 2022
Organizers
=========
Pablo Cordero, Universidad de Málaga, Spain. e-mail: pcordero(a)uma.es
Domingo López-Rodríguez, Universidad de Málaga, Spain. e-mail:
dominlopez(a)uma.es
Ángel Mora, Universidad de Málaga, Spain. e-mail: amora(a)uma.es
Kind regards,
Domingo López-Rodríguez
*Dept. of Applied Mathematics.Universidad de Málaga*
*fcaR website*: https://malaga-fca-group.github.io/fcaR/
*fcaR download*: https://github.com/Malaga-FCA-group/fcaR
******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ********
Due to several requests, the submission of full papers is extended to February, 25th 2022
Title and Abstract are due by February, 18th, 2022
****************************************************************************
19th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems
(IPMU 2022)
July 11th-15th, 2022, Milano, Italy
https://ipmu2022.disco.unimib.it/ <https://ipmu2022.disco.unimib.it/>
The conference will be in presence and in case of international
travel restrictions we will switch to hybrid mode
****************************************************************************
The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty.
It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas.
The next edition of IPMU will be held in Milano, Italy from July 11th to 15th, 2022.
On behalf of the Organizing Committee of the 19th IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) and/or to organize a special session on a specific topic within the scope of the conference which includes (but is not limited to) the following topics:
Theory, Methods and Tools:
Measures of Information and Uncertainty
Bayesian and Probabilistic Methods
Evidence, Possibility and Utility Theories
Fuzzy, Rough, Intuitionistic, etc. sets and operators
Fuzzy Logic and other non-classical Logics
Multiple Criteria Decision Methods
Aggregation Methods
Knowledge Acquisition, Representation and Reasoning
Graphical Models
Machine Learning
Evolutionary Computation
Neural Networks
Data Analysis and Data Science.
Application Fields:
Big Data
Smart Cities
Image Processing
Intelligent Systems and Information Processing,
Logistics, Transportation and Routing
Information Retrieval and Fusion
Agents
E-Health, Medicine and Bioinformatics
Finance
Fuzzy Optimization
IMPORTANT DATES
Please notice that these are strict deadlines
Submission of full papers: February, 18th, 2022
Notification of acceptance: April 1st, 2022
Camera ready copies due: April 22nd, 2022
Conference: July 11th-15th, 2022
Apologies for multiple-postings.
—————————————————————
2nd Call For Papers - CLA 2022
The 16th International Conference on Concept Lattices and Their Applications
June 20–22, 2022
Tallinn, Estonia
CLA 2022 Webpage
https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2020/>
**** Extended versions of selected papers will be invited for possible inclusion in the International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR)
CLA2022: The 16th International Conference on Concept Lattices and Their Applications
Tallinn University of Technology
Tallinn, Estonia, June 20-22, 2022
Conference website https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
Submission link https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
Abstract registration deadline March 6, 2022
Submission deadline March 13, 2022
Scope and Areas
CLA is an international conference dedicated to formal concept analysis (FCA) and areas closely related to FCA such as data mining, information retrieval, knowledge management, data and knowledge engineering, logic, algebra and lattice theory. CLA provides a forum for researchers, practitioners, and students. The program of CLA consists of invited plenary talks, regular talks, workshops, tutorials, and poster sessions. Papers in all areas relevant to theory and applications of FCA are solicited.
Those areas include but are not restricted to:
foundations,
concept lattices and related structures,
attribute implications and data dependencies,
algorithms,
visualization,
data preprocessing,
redundancy and dimensionality reduction,
information retrieval,
classification,
clustering,
association rules and other data dependencies,
ontologies,
applications to software engineering, programming languages, data mining, machine learning, linguistics ...
Important Dates
Abstract submission: March 6, 2022.
Paper submission: March 13, 2022.
Notification of acceptance/rejection: April 17, 2022.
Camera-ready papers due: May 8, 2022.
Conference date: June 20--22, 2022.
Paper Submission and Publication
Papers of up to 12 pages may be submitted in PDF or Postscript format.
Papers need to be formatted using the Springer Lecture Notes in Computer Science style (http://www.springer.de/comp/lncs/authors.html <http://www.springer.de/comp/lncs/authors.html>).
The submission is to be done via https://easychair.org/conferences/?conf=cla2022 <https://easychair.org/conferences/?conf=cla2022>
All papers will be judged based on their technical merits, originality, relevance to areas of interest, and presentation clarity. Papers should describe original work that has not been published before, is not under review elsewhere, and will not be submitted elsewhere during CLA 2022's review period.
Accepted papers will be published in conference proceedings (with ISBN), available at the conference (printed) and at CEUR Workshop Proceedings and CLA Homepage (online).
Selected papers accepted to CLA 2022 will be invited to further revise and extend their work in a special issue of the International Journal of Approximate Reasoning (Elsevier, T1 and Q2 in JCR) entitled "Recent advances and trends in Concept Lattices and their Applications".
Invited Speakers
Bernard De Baets, KERMIT, Ghent University, Belgium (https://ai.ugent.be/people/BernardDeBaets.en.html <https://ai.ugent.be/people/BernardDeBaets.en.html>)
Radio Mesiar, Slovak University of Technology (STU) Bratislava, Slovakia (https://www.math.sk/mesiar/ <https://www.math.sk/mesiar/>)
John F. Sowa, Kyndi, Inc., San Mateo, CA, USA (http://www.jfsowa.com <http://www.jfsowa.com/>)
Peter Vojtáš, Charles University, Prague, Czech Republic (https://www.ksi.mff.cuni.cz/~vojtas/ <https://www.ksi.mff.cuni.cz/~vojtas/>)
Program co-chairs
Pablo Cordero (Universidad de Málaga, Spain)
Ondrej Kridlo (Pavol Jozef Safárik University in Kosice, Slovakia)
Organization Committee Chair
Sadok Ben Yahia, Tallinn University of Technology, Estonia
Program Committee
Cristina Alcalde, Universidad Del Pais Vasco, UPV/EHU, Spain
Simon Andrews, Sheffield Hallam University, United Kingdom
Lubomir Antoni, P. J. Safarik University, Košice, Slovakia
Gabriela Arevalo, Facultad de Ingenieria - Universidad Austral, Argentina
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, Strasbourg, France
Florent Domenach, University of Nicosia, Cyprus
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 Economics, Russia
Mehdi Kaytoue, LIRIS - INSA de Lyon, France
Jan Konecny, Palacký University, Olomouc, Czech Republic
Stanislav Krajci, P. J. Safarik University, Slovakia
Ondrej Kridlo, P. J. Safarik University, Košice, Slovakia
Francesco Kriegel, Technische Universität Dresden, Germany
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, Strasbourg, France
Jesús Medina Moreno, University of Cádiz, Spain
Engelbert Mephu Nguifo, LIMOS - Blaise Pascal University - CNRS, France
Rokia Missaoui, Université du Québec en Outaouais, LARIM, Canada
Angel Mora, University of Malaga, Spain
Amedeo Napoli, LORIA Nancy, France
Sergei Obiedkov, National Research University Higher School of Economics, 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, Hungary
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
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 Economics, 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
Venue
The CLA'2022 conference will be held in Tallinn University of Technology, Estonia, from 20-22 June, 2022.
Contact
All questions about submissions should be emailed to pcordero(a)uma.es <mailto:pcordero@uma.es> or ondrej.kridlo(a)upjs.sk <mailto:ondrej.kridlo@upjs.sk>.
CLA 2022 Webpage: https://cs.ttu.ee/events/cla2022/ <https://cs.ttu.ee/events/cla2022/>
CLA Homepage: http://cla.inf.upol.cz <http://cla.inf.upol.cz/>
(Apologies for potential cross-posting)
The Joint Ontology Workshops - JOWO 2022
Episode 8: The Svear Sommar of Ontology
August 15-19, 2022, Jönköping, Sweden (On-site)
https://www.iaoa.org/jowo/2022 <https://www.iaoa.org/jowo/2020/index.html>
*-- Final Call for Workshop and Tutorial Proposals --*
Submission deadline: February 15, 2022
Notification: March 1, 2022
The organisation team invites proposals for workshops and tutorials to be
submitted to the eighth edition of the Joint Ontology Workshop (JOWO 2022).
The event will take place at Jönköping University in Sweden on August
15-19, 2022.
Workshops and tutorials at JOWO 2022 are events whose scientific program is
independently established by the workshop organisers, but whose venue
matters are managed by the organisation of the umbrella event. Organisers
for each workshop are responsible to advertise the workshop, finding a
program committee, and reviewing and selecting the contributions. Each
workshop will be treated as an independent track at JOWO and will be
provided with a submission track on JOWO's Easychair, a room at a shared
venue with joint breaks, shared keynote speakers, and social programs.
Attendees are free to partake in all workshops at JOWO and all accepted
papers are to be published in the joint proceedings (open access CEUR
proceedings in the IAOA series: http://ceur-ws.org/iaoa.html).
Proposals for workshops of interest are those that provide a forum for the
discussion of theory, practice, development and/or application of
topics broadly
related to ontologies, formal ontology, and knowledge management and their
application in information science or closely related areas. The strength
of JOWO is the variety of different topics within the same domain.
Therefore, JOWO workshops typically address a wide spectrum of topics
related to ontology research and information science: ranging from
Philosophy and Cognitive Science. Knowledge Representation and Logic,
Linguistics and Natural Language Processing, Artificial Intelligence and
Hybrid AI, Conceptual Modelling and Semantic Web. In general,
any particular domain in which ontologies may be put to use is welcome. As
a workshop collective, JOWO is especially suitable for interdisciplinary
and innovative formats.
Previous JOWO editions were held as independent events in 2019 in Graz
(Austria), in 2017 in Bolzano (Italy), and in conjunction with FOIS 2018 in
Cape Town (South Africa), with FOIS 2016 in Annecy (France), and at IJCAI
2015 in Buenos Aires (Argentina). During the pandemic
times 2022-21, JOWO were held as components in BOSK 2021 and 2022 in
Bolzano (Italy).
This year's venue is Jönköping University. The university offers
modern facilities in a mid-sized town in the south of Sweden. Beautifully
located between shimmering lakes and lush forests, Jönköping is a popular
tourist destination for nature lovers, sports enthusiasts and those
interested in nordic culture. JOWO will be organised as an on-site event,
but individual workshops may choose to invite part of their workshop
presenters in an online form.
*-- SUBMISSION INSTRUCTIONS --*
*Workshop proposals should be sent to:steering.JOWO2022@gmail.com as soon
as possible and no later than February 15, 2022. *
We encourage several forms and lengths of workshops (the list is
non-exhaustive):
- workshops that focus on an established research area, including
continuations of workshops that were held in the past;
- workshops that focus on emerging topics and applications, or on open
research questions and challenges;
- workshops that aim to create cross-disciplinary research fostering the
exchange of ideas between groups otherwise mostly disconnected.
Proposals for workshops and tutorials should be* no more than 2 pages* in
length, and must contain the following information:
- title of the workshop/tutorial;
- names of the workshop/tutorial organisers;
- brief description of experience in workshop/tutorial organisation;
- description of the workshop/tutorial topic;
- brief description of the expected audience (please give an estimate of
the expected number of participants and their background and interests);
- intended duration of the workshop (between half a day and a full day);
- timeline for the workshop (submission dates, notification dates). We
recommend taking the proposed "important dates" below into account.
*-- EVALUATION --*
Submissions of workshop proposals will be evaluated by the workshop chairs
of JOWO 2022 using the following criteria:
- Scientific relevance and utility to attendees;
- Quality of the proposal;
- Likelihood of success of the workshop;
- Overlap and complementarity with other workshops.
*-- IMPORTANT DATES --*
- February 15, 2022 – Workshop proposal submission deadline
- March 1, 2022 – Latest date for notification of workshop acceptance
- March 16, 2022 – 1st call for papers to be distributed by individual
workshop organisers
- August 15-19, 2022 – JOWO conference dates
*-- FURTHER INQUIRIES --*
In case of further questions please contact: steering.JOWO2022(a)gmail.com
*-- ORGANISATION --*
*Chairs and local organisation:*Maria M. Hedblom, Jönköping University,
Sweden
Karl Hammar, Jönköping University, Sweden
Tan He, Jönköping University, Sweden
*Proceedings chair:*
Tiago Sales Prince, Free University of Bozen-Bolzano, Italy
*Web chair:*
Selja Seppälä, University College Cork (UCC), Ireland
------------------------------------------------
ICWE 2022
22nd International Conference on Web Engineering
Bari, Italy | July 5-8, 2022
http://icwe2022.webengineering.org/
------------------------------------------------
Call for Demos & Posters
===========================
DEADLINE EXTENSION
Given the high number of requests, the deadline has been extended to March 1.
NEW IMPORTANT DATES
---------------
Submission deadline (demos and posters): March 1, 2022 (AoE Time)
Notification of acceptance: March 19, 2022 (AoE Time)
Camera-ready deadline: March 26, 2022 (AoE Time)
CALL
---------------
Overview
The International Conference on Web Engineering (ICWE) is the premier annual conference on Web Engineering and associated technologies. ICWE aims to bring together researchers and practitioners from various disciplines in academia and industry to tackle the emerging challenges in the engineering of Web applications, the problems of its associated technologies, and the impact of those technologies on society and culture.
The track Demos and Posters of ICWE 2022 provides an unique forum for researchers and practitioners alike to showcase demonstrators, to present projects, to discuss preliminary research results, and obtain feedback from members of the Web Engineering community.
* Demos
ICWE 2022 sees significant value in demonstrations and aims to provide visibility and a discussion forum for state-of-the-art technical solutions, implementation experiences and recent research activities. The Demos track offers an exciting and highly interactive way of presenting and discussing demonstrators of promising research. It is an excellent way of showcasing prototypes and the applicability of your research. Submissions about open source software and commercial solutions are also welcome. Note that demonstrations should be brief so that they can be shown repeatedly. We particularly encourage demos with which attendees can interact.
* Posters
The Posters track invites researchers, practitioners, PhD students and others working in any area of Web Engineering, that do not have a demonstration, to submit a poster of their research. We solicit submission of original research, as well as experience and vision papers from both researchers and practitioners. Like Demos, Poster contributions may address any topic that fits within the ICWE 2022 topics of interest.
Topics of interests (not exhaustively) includes the following:
* Web application modelling and engineering
* Web mining and knowledge extraction
* Web Big Data and Web data analytics
* Mobile Web applications
* Web of Things applications
* Social Web applications
* Web crowdsourcing and human computation
* Semantic Web, Web ontologies, and Linked Open Data applications
* Web composition and mashups
* Web user interfaces
* Quality and accessibility aspects of Web applications
* Web security and privacy
* Web services, computing, and standards
* Microservice architecture for Web applications
* Cloud, fog, and edge computing for Web applications
* Fairness of Web technology
* User Modelling and Recommender Systems based on Web technology
* Explainable Web technology
SUBMISSION INFORMATION
---------------
The submissions to the track Demo and Poster must include:
* A description of the work (up to 4 pages in LNCS format including references) to be included into the proceedings of ICWE 2022. Authors should consult Springer’s authors’ guidelines and use proceedings templates as instructed at http://www.springer.de/comp/lncs/authors.html. Submissions should be in PDF format.
* An appendix (in free format) informing what will be demonstrated and how the contributions will be illustrated interactively. For demos, the appendix should include a URL that points to a preliminary version of the demo (e.g., screenshots, videos, or a running system). For posters, it should include a link to download a poster in PDF format, A0 size.
All submissions should through EasyChair using the link https://easychair.org/conferences/?conf=icwe2022
Publication of Accepted Submissions
Camera-ready versions of accepted Demos and Posters submissions will be published in the ICWE 2022 main conference proceedings. At least one author of each accepted submission must register for the conference and present the work during the demos and posters sessions.
The final version of each accepted paper must strictly adhere to the LNCS guidelines (http://www.springer.de/comp/lncs/authors.html) and must include a printable file of the camera-ready version as well as all required source files (either MS Word or Latex). No changes to the LNCS formatting rules are permitted. Authors of accepted papers must also download and sign a copyright form that will be made available in due time.
DEMO & POSTER CHAIRS
---------------
Yashar Deldjoo (Politecnico di Bari, Italy)
Irene Garrigos (University of Alicante, Spain)
Marco Tkalcic (University of Primorska, Slovenia)
CONTACT
---------------
All questions about submissions should be emailed to: pdchair.icwe2022(a)webengineering.org
******** PLEASE APOLOGIZE FOR MULTIPLE COPIES ********
***** HIGHLIGHTS *****
- Submission of full papers: February, 18th, 2022
- Five student grants offered by Eusflat
- Panel session on “The legacy of 40 years of rough sets"
****************************************************************************
19th International Conference on Information Processing and
Management of Uncertainty in Knowledge-Based Systems
(IPMU 2022)
July 11th-15th, 2022, Milano, Italy
https://ipmu2022.disco.unimib.it/ <https://ipmu2022.disco.unimib.it/>
The conference will be in presence and in case of international
travel restrictions we will switch to hybrid mode
****************************************************************************
The IPMU conference is organized every two years with the aim of bringing together scientists working on information processing and the management of the many aspects of uncertainty.
It also serves as an ideal forum for the exchange of ideas between theoreticians and practitioners in these and related areas.
The next edition of IPMU will be held in Milano, Italy from July 11th to 15th, 2022.
On behalf of the Organizing Committee of the 19th IPMU Conference, we invite researchers to submit original research contributions (theoretical, methodological, applications) and/or to organize a special session on a specific topic within the scope of the conference which includes (but is not limited to) the following topics:
Theory, Methods and Tools:
Measures of Information and Uncertainty
Bayesian and Probabilistic Methods
Evidence, Possibility and Utility Theories
Fuzzy, Rough, Intuitionistic, etc. sets and operators
Fuzzy Logic and other non-classical Logics
Multiple Criteria Decision Methods
Aggregation Methods
Knowledge Acquisition, Representation and Reasoning
Graphical Models
Machine Learning
Evolutionary Computation
Neural Networks
Data Analysis and Data Science.
Application Fields:
Big Data
Smart Cities
Image Processing
Intelligent Systems and Information Processing,
Logistics, Transportation and Routing
Information Retrieval and Fusion
Agents
E-Health, Medicine and Bioinformatics
Finance
Fuzzy Optimization
IMPORTANT DATES
Please notice that these are strict deadlines
Submission of full papers: February, 18th, 2022
Notification of acceptance: April 1st, 2022
Camera ready copies due: April 22nd, 2022
Conference: July 11th-15th, 2022
Dear list-members
The backend service of the fca-list was recently updated to a more modern
mailman software. This caused an error which prevented the forwarding of
messages to the list members since mid-December.
We fixed this issue and fca-list should now work again as expected. If you think
a message from you in the aforementioned time frame may be lost due to this
error, please just resend it.
Best Regards
Tom
--
Dr. Tom Hanika
Universität Kassel Tel.: +49 (0) 561 804 6350
https://www.kde.cs.uni-kassel.de/hanika
---------------------------------------------------------------------
The research group Knowledge & Data Engineering at the University of Kassel
announces a
*PhD position (salary scale TV-H E13, 100%)*
in the context of the LOEWE-Project "Dimension Curse Detector" [1].
The position [2] is supervised by PI Dr. Tom Hanika [3] in cooperation with
Prof. Dr. Gerd Stumme and Prof. Dr. Martin Schneider (TU Freiberg). The group's
emphasis is on researching and developing methods and algorithms at the
confluence of Knowledge Discovery, Artificial Intelligence and Mathematics. The
research project aims at exhibiting concentration phenomena in the realm of
high-dimensional machine learning and data science applications.
We welcome talented and highly motivated candidates with knowledge in discrete
structures or mathematical foundations of machine learning, as well as good
programming skills in Python, GNU R, Fortran, or Java. Furthermore, a high
social competency and a very good command of the English language are expected.
Applicants to the PhD position must have a relevant *Master's degree* (or
equivalent) in Computer Science, Mathematics, Physics or a related field.
The position is (at first) limited to *2 years* (cf. Qualifikationsstelle gem. §
65 HHG i. V. m. § 2 Abs. 1 Satz 1 WissZeitVG; Promotionsmöglichkeit).
Please submit your complete application (including all necessary documents and a
letter of intent) via the application portal [4].
Applications are accepted as of now until *2022-02-15*.
[1]
https://wissenschaft.hessen.de/Presse/Vom-Fluch-der-Dimension-Tigermuecken-…
[2] http://www.uni-kassel.de/go/dcdposition/
[3] https://www.kde.cs.uni-kassel.de/hanika
[4]
https://stellen.uni-kassel.de/en/jobposting/064cea431f7a4a00172788d51a6b0b9…
--
Dr. Tom Hanika
Universität Kassel Tel.: +49 (0) 561 804 6350
https://www.kde.cs.uni-kassel.de/hanika
---------------------------------------------------------------------
With a Thematic Track on FCA !
[cid:24b3aa42-3024-4865-bb55-da071ae9f45c]
Sorry for multiple postings
Call for Papers
IFCS 2022
17th Conference of the
International Federation of Classification Societies
19th-23rd July 2022 – Porto, Portugal
Conference website: https://ifcs2022.fep.up.pt/
Write to us at: ifcs2022(a)fep.up.pt<mailto:ifcs2022@fep.up.pt>
We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference:
* Genevera Allen (USA)
* Charles Bouveyron (FR)
* Dianne Cook (AUS)
* João Gama (PT)
* * *
Publications
· Pre-conference Proceedings (6-8 page papers) in the Springer Series: “Studies in Classification, Data Analysis, and Knowledge Organization”
· Post-conference Special Issues:
* Advances in Data Analysis and Classification (ADAC)
* Journal of Classification
* Machine Learning
* EURO Journal on Computational Optimization
Conference topics
Big Data • Biplots • Clustering, Classification and Discrimination • Compositional Data Analysis • Computer Graphics and Visualization • Data Science • Data Science Education • Data Streams • Databases and Data Management • Deep Learning • Dependence Modelling and Copulas • Dimension Reduction • Formal Concept Analysis • Functional Data Analysis • Generalized Linear Models • Image Analysis and Computer Vision • Information-theoretic Statistical Modelling and Model Selection • Knowledge Representation and Discovery • Machine Learning • Mathematical Foundations of Data Science • Matrix Factorization • Meta-learning • Missing Data Handling • Model-based Clustering • Modelling High-Dimensional and Complex Data • Natural Language Processing • Optimization in Classification and Clustering • Pattern Recognition • Robust Methods • Social Network Analysis • Spatial Data Analysis • Statistical and Econometric Methods • Statistical Learning and Data Mining • Symbolic Data Analysis • Text Mining • Time Series Analysis • Web Mining
with Applications in
Archaeology • Astronomy • Biology • Business and Management • Economics • Education • Engineering • Finance • Geosciences • Industry • Linguistics • Marketing • Medicine and Health Care • Musicology • Psychology • Risk Management • Social Sciences
Important dates:
January 15th, 2022 NEW DATE : January 25th, 2022 - Submission of full papers
March 1st, 2022 - Notification to authors
March 15th, 2022 - Submission of revised papers
March 31st, 2022 - Deadline Submission of Single Abstracts
April 14th, 2022 - Notification to Single Abstract Authors
April 30th, 2022- Early registration deadline
June 15th, 2022- Standard registration deadline
after June 15th, 2022 - Late registration deadline
We look forward to meeting you in Porto in July 2022 !
With a Thematic Track on FCA !
[cid:24b3aa42-3024-4865-bb55-da071ae9f45c]
Sorry for multiple postings
Call for Papers
IFCS 2022
17th Conference of the
International Federation of Classification Societies
19th-23rd July 2022 – Porto, Portugal
Conference website: https://ifcs2022.fep.up.pt/
Write to us at: ifcs2022(a)fep.up.pt<mailto:ifcs2022@fep.up.pt>
We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference:
* Genevera Allen (USA)
* Charles Bouveyron (FR)
* Dianne Cook (AUS)
* João Gama (PT)
* * *
Publications
· Pre-conference Proceedings (6-8 page papers) in the Springer Series: “Studies in Classification, Data Analysis, and Knowledge Organization”
· Post-conference Special Issues:
* Advances in Data Analysis and Classification (ADAC)
* Journal of Classification
* Machine Learning
* EURO Journal on Computational Optimization
Conference topics
Big Data • Biplots • Clustering, Classification and Discrimination • Compositional Data Analysis • Computer Graphics and Visualization • Data Science • Data Science Education • Data Streams • Databases and Data Management • Deep Learning • Dependence Modelling and Copulas • Dimension Reduction • Formal Concept Analysis • Functional Data Analysis • Generalized Linear Models • Image Analysis and Computer Vision • Information-theoretic Statistical Modelling and Model Selection • Knowledge Representation and Discovery • Machine Learning • Mathematical Foundations of Data Science • Matrix Factorization • Meta-learning • Missing Data Handling • Model-based Clustering • Modelling High-Dimensional and Complex Data • Natural Language Processing • Optimization in Classification and Clustering • Pattern Recognition • Robust Methods • Social Network Analysis • Spatial Data Analysis • Statistical and Econometric Methods • Statistical Learning and Data Mining • Symbolic Data Analysis • Text Mining • Time Series Analysis • Web Mining
with Applications in
Archaeology • Astronomy • Biology • Business and Management • Economics • Education • Engineering • Finance • Geosciences • Industry • Linguistics • Marketing • Medicine and Health Care • Musicology • Psychology • Risk Management • Social Sciences
Important dates:
January 15th, 2022 NEW DATE : January 25th, 2022 - Submission of full papers
March 1st, 2022 - Notification to authors
March 15th, 2022 - Submission of revised papers
March 31st, 2022 - Deadline Submission of Single Abstracts
April 14th, 2022 - Notification to Single Abstract Authors
April 30th, 2022- Early registration deadline
June 15th, 2022- Standard registration deadline
after June 15th, 2022 - Late registration deadline
We look forward to meeting you in Porto in July 2022 !
The research group Knowledge & Data Engineering at the University of Kassel
announces a
*PhD position (salary scale TV-H E13, 100%)*
in the context of the LOEWE-Project "Dimension Curse Detector" [1].
The position [2] is supervised by PI Dr. Tom Hanika [3] in cooperation with
Prof. Dr. Gerd Stumme and Prof. Dr. Martin Schneider (TU Freiberg). The group's
emphasis is on researching and developing methods and algorithms at the
confluence of Knowledge Discovery, Artificial Intelligence and Mathematics. The
research project aims at exhibiting concentration phenomena in the realm of
high-dimensional machine learning and data science applications.
We welcome talented and highly motivated candidates with knowledge in discrete
structures or mathematical foundations of machine learning, as well as good
programming skills in Python, GNU R, Fortran, or Java. Furthermore, a high
social competency and a very good command of the English language are expected.
Applicants to the PhD position must have a relevant *Master's degree* (or
equivalent) in Computer Science, Mathematics, Physics or a related field.
The position is (at first) limited to *2 years* (cf. Qualifikationsstelle gem. §
65 HHG i. V. m. § 2 Abs. 1 Satz 1 WissZeitVG; Promotionsmöglichkeit).
Please submit your complete application (including all necessary documents and a
letter of intent) via the application portal [4].
Applications are accepted as of now until *2022-02-15*.
[1]
https://wissenschaft.hessen.de/Presse/Vom-Fluch-der-Dimension-Tigermuecken-…
[2] http://www.uni-kassel.de/go/dcdposition/
[3] https://www.kde.cs.uni-kassel.de/hanika
[4]
https://stellen.uni-kassel.de/en/jobposting/064cea431f7a4a00172788d51a6b0b9…
--
Dr. Tom Hanika
Universität Kassel Tel.: +49 (0) 561 804 6350
https://www.kde.cs.uni-kassel.de/hanika
---------------------------------------------------------------------
(Apologies for potential cross-posting)
The Joint Ontology Workshops - JOWO 2022
Episode 8: The Svear Sommar of Ontology
August 15-19, 2022, Jönköping, Sweden (On-site)
https://www.iaoa.org/jowo/2022 <https://www.iaoa.org/jowo/2020/index.html>
*-- 2nd Call for Workshop and Tutorial Proposals --*
* Submission is open until: February 15, 2022
* Notification: March 1, 2022
The organisation team invites proposals for workshops and tutorials to be
submitted to the eighth edition of the Joint Ontology Workshop (JOWO 2022).
The event will take place at Jönköping University in Sweden on August
15-19, 2022.
Workshops and tutorials at JOWO 2022 are events whose scientific program is
independently established by the workshop organisers, but whose venue
matters are managed by the organisation of the umbrella event. Organisers
for each workshop are responsible to advertise the workshop, finding a
program committee, and reviewing and selecting the contributions. Each
workshop will be treated as an independent track at JOWO and will be
provided with a submission track on JOWO's Easychair, a room at a shared
venue with joint breaks, shared keynote speakers, and social programs.
Attendees are free to partake in all workshops at JOWO and all accepted
papers are to be published in the joint proceedings (open access CEUR
proceedings in the IAOA series: http://ceur-ws.org/iaoa.html).
Proposals for workshops of interest are those that provide a forum for the
discussion of theory, practice, development and/or application of
topics broadly
related to ontologies, formal ontology, and knowledge management and their
application in information science or closely related areas. The strength
of JOWO is the variety of different topics within the same domain.
Therefore, JOWO workshops typically address a wide spectrum of topics
related to ontology research and information science: ranging from
Philosophy and Cognitive Science. Knowledge Representation and Logic,
Linguistics and Natural Language Processing, Artificial Intelligence and
Hybrid AI, Conceptual Modelling and Semantic Web. In general,
any particular domain in which ontologies may be put to use is welcome. As
a workshop collective, JOWO is especially suitable for interdisciplinary
and innovative formats.
Previous JOWO editions were held as independent events in 2019 in Graz
(Austria), in 2017 in Bolzano (Italy), and in conjunction with FOIS 2018 in
Cape Town (South Africa), with FOIS 2016 in Annecy (France), and at IJCAI
2015 in Buenos Aires (Argentina). During the pandemic times 2022-21, JOWO were
held as components in BOSK 2021 and 2022 in Bolzano (Italy).
This year's venue is Jönköping University. The university offers
modern facilities in a mid-sized town in the south of Sweden. Beautifully
located between shimmering lakes and lush forests, Jönköping is a popular
tourist destination for nature lovers, sports enthusiasts and those
interested in nordic culture. JOWO will be organised as an on-site event,
but individual workshops may choose to invite part of their workshop
presenters in an online form, given that they manage the complexities of
the hybrid format independently from the JOWO organisation.
*-- SUBMISSION INSTRUCTIONS --*
*Workshop proposals should be sent to:steering.JOWO2022@gmail.com as soon
as possible and no later than February 15, 2022. *
We encourage several forms and lengths of workshops (the list is
non-exhaustive):
- workshops that focus on an established research area, including
continuations of workshops that were held in the past;
- workshops that focus on emerging topics and applications, or on open
research questions and challenges;
- workshops that aim to create cross-disciplinary research fostering the
exchange of ideas between groups otherwise mostly disconnected.
Proposals for workshops and tutorials should be* no more than 2 pages* in
length, and must contain the following information:
- title of the workshop/tutorial;
- names of the workshop/tutorial organisers;
- brief description of experience in workshop/tutorial organisation;
- description of the workshop/tutorial topic;
- brief description of the expected audience (please give an estimate of
the expected number of participants and their background and interests);
- intended duration of the workshop (between half a day and a full day);
- timeline for the workshop (submission dates, notification dates). We
recommend taking the proposed "important dates" below into account.
*-- EVALUATION --*
Submissions of workshop proposals will be evaluated by the workshop chairs
of JOWO 2022 using the following criteria:
- Scientific relevance and utility to attendees;
- Quality of the proposal;
- Likelihood of success of the workshop;
- Overlap and complementarity with other workshops.
*-- IMPORTANT DATES --*
- February 15, 2022 – Workshop proposal submission deadline
- March 1, 2022 – Latest date for notification of workshop acceptance
- March 16, 2022 – 1st call for papers to be distributed by individual
workshop organisers
- August 15-19, 2022 – JOWO conference dates
*-- FURTHER INQUIRIES --*
In case of further questions please contact: steering.JOWO2022(a)gmail.com
*-- ORGANISATION --*
*Chairs and local organisation:*Maria M. Hedblom, Jönköping University,
Sweden
Karl Hammar, Jönköping University, Sweden
Tan He, Jönköping University, Sweden
*Proceedings chair:*
Tiago Sales Prince, Free University of Bozen-Bolzano, Italy
*Web chair:*
Selja Seppälä, University College Cork (UCC), Ireland
(with apologies for cross postings)
Please consider to contribute to and/or forward to the appropriate groups.
========
REMINDER
========
The deadline for paper submissions is => 15 January 2022 <= (Hard Deadline).
=======================================================
CDUD 2022
Special Session on Concept Discovery in Unstructured Data
at the 14th Asian Conference on Intelligent Information and Database
Systems (ACIIDS 2022)
Almaty, Kazakhstan, June 6-9, 2022
Conference website: http://www.aciids.pwr.edu.pl/
=======================================================
Objectives and topics
Concept discovery is a subdomain of Knowledge Discovery (KDD) and AI
that uses human-centered techniques such as Formal Concept Analysis
(FCA), Topic Modeling, Visual Text Representations, Conceptual Graphs
etc. for gaining insight into the underlying conceptual structure of the
data. Traditional machine learning techniques are mainly focusing on
structured data whereas most data available resides in unstructured,
often textual, form. Compared to traditional data mining techniques,
human-centered instruments actively engage the domain expert in the
discovery process.
This special session welcomes papers describing innovative research on
data discovery techniques. Moreover, this workshop intends to provide a
forum for researchers and developers of data mining instruments, working
on issues associated with analyzing unstructured data. First, we are
interested in methods for transforming unstructured into semi-structured
information. Unstructured information such as texts or images can be
tagged, keywords can be extracted from texts by means of Natural
Language Processing methods, etc. For example, recently so-called
Learning Representations such as Text Vectors or Visual Words have
gained much attention in the domain of unstructured data. Second, in
this workshop we also particularly welcome research on using
human-centered instruments such as FCA to analyze unstructured and
semi-structured data. Applications in which we are interested include
but are not limited to Text Mining and Web Mining including forums,
blogs, social sharing systems like Twitter and Facebook, mining
sociological interviews, etc. We are also interested in innovative
instruments for dealing with interpretability, fairness, transparency,
knowledge incompleteness and asymmetry. CDUD 2022 is the fourth edition
of the three preceding workshops: CDUD 2016 (Moscow, Russia, 2016;
website: https://cla2016.hse.ru/cdud; Proceedings:
http://ceur-ws.org/Vol-1625/), CDUD 2012 (Leuven, Belgium, 2012;
Proceedings: http://ceur-ws.org/Vol-871/), and CDUD 2011 (Moscow,
Russia, 2011; Proceedings: http://ceur-ws.org/Vol-757/).
The scope of the CDUD 2022 includes (but not limited) the following topics:
- Applications of FCA for discovery purposes
- Association Rules and Frequent Closed Itemsets
- Biclustering and Multimodal clustering
- Conceptual Clustering
- Dealing with knowledge incompleteness and asymmetry
- Deep Learning for Text Representations
- Discovery techniques for conceptual models
- Explainable, fair and transparent AI
- Efficient indexing and structuring algorithms
- Formal Concept Analysis and Rough Sets
- Graph Mining and Learning
- Pattern Mining for Intelligent Transport
- Knowledge discovery and representation
- Natural Language Processing
- Ontology Learning from text
- Probabilistic concept discovery
- Patterns in Big Data and No-SQL databases
- Recommender Systems
- Text Mining and Text Kernels
- Topic Modeling
- Visual Analytics
Submission Details
All contributions should be original and not published elsewhere or
intended to be published during the review period. Authors are invited
to submit their papers electronically in pdf format, through EasyChair.
All the special sessions are centralized as tracks in the same
conference management system as the regular papers. Therefore, to submit
a paper please activate the following link and select the track: CDUD
2022: Special Session on Concept Discovery in Unstructured Data.
https://easychair.org/conferences/?conf=aciids2022
Authors are invited to submit original previously unpublished research
papers written in English, of up to 13 pages, strictly following the
LNCS/LNAI format guidelines. Authors can download the Latex
(recommended) or Word templates available at Springer's web site.
Submissions not following the format guidelines will be rejected without
review. To ensure high quality, all papers will be thoroughly reviewed
by the CDUD 2022 Program Committee. All accepted papers must be
presented by one of the authors who must register for the conference and
pay the fee. The conference proceedings will be published by Springer in
the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI
Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus,
etc.).
Important Dates
Submission of papers: 31 December 2021
Notification of acceptance: 1 February 2022
Camera-ready papers: 15 February 2022
Registration & payment: 15 February 2022
Conference date: 6-9 June 2022
Organization
Assoc. Prof. Dr. Jaume Baixeries
Department of Computer Science
Universitat Politècnica de Catalunya, Barcelona, Catalonia, Spain
E-mail: jbaixer(a)cs.upc.edu
Prof. Dr. Leonard Kwuida
Business School, Institute for Applied Data Science and Finance
Bern University of Applied Sciences, Bern, Switzerland
E-mail: leonard.kwuida(a)bfh.ch
Prof. Dr. Radhakrishnan Delhibabu
School of Computer Science and Engineering
VIT University, Tamilnadu, India
E-mail: rdelhibabu(a)gmail.com
Ass. Prof. Dr. Dmitry I. Ignatov
School of Data Analysis and Artificial intelligence and
Laboratory for Models and Methods of Computational Pragmatics (Head)
National Research University Higher School of Economics, Moscow, Russia
E-mail: dignatov(a)hse.ru
Program Committee (to be invited)
Secretary: Aliya Nugumanova, S. Amanzholov East Kazakhstan State
University, Kazakhstan
Kuanysh Abeshev, Almaty Management University (AlmaU), Kazakhstan
Simon Andrews, Sheffield Hallam University, United Kingdom
Vladimir Barakhnin, Novosibirsk State University, Russia
Alexei Buzmakov, National Research University Higher School of
Economics, Russia
Inma P. Cabrera, Universidad de Málaga, Spain
Víctor Codocedo, LORIA, Nancy
Pablo Cordera, Universidad de Málaga, Spain
Florent Domenach, Akita International university
Bernd Fischer, Stellenbosh University, South Africa
Gillian Greene, Stellenbosh University, South Africa
Dmitry Ilvovsky, National Research University Higher School of
Economics, Russia
Martin Trnecka, UPOL, Czech Republic
Sergey Zykov, National Research University Higher School of Economics,
Russia
Mehdi Kaytoue, LORIA, Lyon, France
Francesco Kriegel, TU Drezden, Germany
Sergei O. Kuznetsov, National Research University Higher School of Economics
Jan Konecny, Dept. Computer Science, Palacky University, Olomouc
Natalia Loukachevitch, Lomonosov Moscow State University, Russia
Madina Mansurova, Al-Farabi Kazakh National University, Kazakhstan
Dmitry Mouromtsev, National Research University of Information
Technologies, Mechanics and Optics, Russia
Xenia Naidenova, Military Medical Academy, Russia
Amedeo Napoli, LORIA, Nancy, France
Alexey Neznanov, National Research University Higher School of
Economics, Russia
Artem Revenko, Semantic Web Company, Vienna, Austria
Alexander Panchenko, Skolkovo University of Technology, Russia and
Tehcnische Universitat Darmstadt, Germany
Uta Priss, Edinburgh Napier University, United Kingdom
Jan Outrata, Dept. Computer Science, Palacky University, Czech Republic
Dmitry Ustalov, Ural Federal University, Russia
Baris Sertkaya, Frankfurt University of Applied Sciences, Germany
Dominik Slezak, University of Warsaw, Poland
Rustam Tagiew, German Center for Railway Traffic Research, Dresden, Germany
Jesus Medina Moreno, University of Cádiz, Spain
Rinat Zhukenov, National Information Technologies JSC, Nur-Sultan,
Kazakhstan
*ICCS 2022: 27th International Conference on Conceptual Structures*
Münster, Germany, September 12-15, 2022
Conference website: https://iccs-conference.org/
Abstract registration: March 11, 2022
Submission deadline: March 18, 2022
The International Conferences on Conceptual Structures (ICCS) focus on
the formal analysis and representation of conceptual knowledge, at the
crossroads of artificial intelligence, human cognition, computational
linguistics, and related areas of computer science and cognitive
science. The ICCS conferences evolved from a series of seven annual
workshops on conceptual graphs, starting with an informal gathering
hosted by John F. Sowa in 1986. Recently, graph-based knowledge
representation and reasoning (KRR) paradigms are getting more and more
attention. With the rise of quasi-autonomous AI, graph-based
representations provide a vehicle for making machine cognition
explicit to its human users.
Submissions are invited on significant, original, and previously
unpublished research on the formal analysis and representation of
conceptual knowledge in artificial intelligence (AI). All papers will
receive mindful and rigorous reviews that will provide authors with
useful critical feedback. The aim of the ICCS 2022 conference is to
build upon its long-standing expertise in graph-based KRR and focus on
providing modelling, formal and application results of graph-based
systems. The conference welcomes contributions that address
graph-based representation and reasoning paradigms (e.g. Bayesian
Networks (BNs), Semantic Networks (SNs), RDF(S), Conceptual Graphs
(CGs), Formal Concept Analysis (FCA), CP-Nets, GAI-Nets, Graph
Databases, Diagrams, Knowledge Graphs, Semantic Web, etc.) from a
modelling, theoretical and application viewpoint.
*Topics*
Topics include but are not limited to:
- Existential and Conceptual Graphs
- Graph-based models for human reasoning
- Social network analysis
- Formal Concept Analysis
- Conceptual knowledge acquisition
- Data and Text mining
- Human and machine reasoning under inconsistency
- Human and machine knowledge representation and uncertainty
- Automated decision-making and argumentation
- Preferences
- Contextual logic
- Ontologies
- Knowledge architecture and management
- Semantic Web, Web of Data, Web 2.0
- Conceptual structures in natural language processing and linguistics
- Metaphoric, cultural or semiotic considerations
- Constraint satisfaction
- Resource allocation and agreement technologies
- Philosophical, neural, and didactic investigations of conceptual,
graphical representations
*Submission Information*
We invite scientific papers of up to fourteen pages, short
contributions up to eight pages. Papers must be formatted according to
Springer’s LNCS style guidelines and not exceed the page limit. Papers
will be subject to double-blind peer review, in which the reviewers do
not know the author’s identity, and the submission should be done via
EasyChair (https://easychair.org/conferences/?conf=iccs20220). All
paper submissions will be refereed and authors will have the
opportunity to respond to reviewers’ comments during the rebuttal
phase. Accepted papers will be included in the conference proceedings,
published by Springer in the LNCS/LNAI series. At least one author of
each accepted paper must register for the conference and present the
paper there. Proceedings will be submitted for indexation by DBLP.
*Review Process*
Papers will be subject to double blind peer review in which the
reviewers do not know the author’s identity. In order to make blind
reviewing possible, authors must omit their names and affiliations
from the paper. Also, while the references should not include
unpublished work. When referring to one’s own work, use the third
person rather than the first person. Such identifying information can
be added back to the final camera-ready version of accepted
papers. Similarly, reviewers should not reveal their identities within
the paper reviews. The review process will include the opportunity for
authors to see the reviews of their papers and to respond to technical
questions raised by the reviewers before discussion starts within the
Program Committee. The decision of the Program Committee will be final
and cannot be appealed.
*Program Committee (tentative)*
- Adil Kabbaj – INSEA
- Amedeo Napoli – LORIA Nancy (CNRS – Inria – Université de Lorraine) France
- Bernd Amann – Sorbonne Université – LIP6
- Catherine Faron Zucker – Université Nice Sophia Antipolis
- Christian Sacarea – Babes-Bolyai University Cluj-Napoca
- Dan Corbett – Optimodal Technologies, LLC
- Diana Cristea – Babes-Bolyai University Cluj-Napoca
- Diana Sotropa – Babes-Bolyai University Cluj-Napoca
- Dmitry Ignatov – National Research University Higher School of Economics
- Dominik Endres – University of Marburg
- Eric Salvat – IMERIR
- Fatiha Saïs – LRI ( Paris Sud University &CNRS8623), Paris Saclay
University
- Florent Domenach – Akita International University
- Gerd Stumme – University of Kassel
- Guoqiang Zhang – UTHealth
- Hamamache Kheddouci – Universit Claude Bernard
- Harry Delugach – University of Alabama in Huntsville
- Heather D. Pfeiffer – Akamai Physics, Inc.
- Iain Stalker – Univesity of Manchester
- Jérôme Lang – CNRS, LAMSADE, Université Paris-Dauphine
- Jim Burton – University of Brighton
- Leila Amgoud – IRIT – CNRS
- Leonard Kwuida – Bern University of Applied Sciences
- Licong Cui – The University of Texas Health Science Center at Houston
- Madalina Croitoru – LIRMM, Univ. Montpellier II
- Marcel Gehrke – University of Lübeck
- Marie-Christine Rousset – University of Grenoble Alpes
- Mateja Jamnik – University of Cambridge
- Moulin Bernard – Laval University
- Natalia Loukachevitch – Research Computing Center of Moscow State
University
- Nathalie Pernelle – LRI-Universit Paris SUD
- Nir Oren – University of Aberdeen
- Olivier Corby – INRIA
- Ollivier Haemmerlé – IRIT, Univ. Toulouse le Mirail
- Peggy Cellier – IRISA/INSA Rennes
- Peter Chapman – Edinburgh Napier University
- Philippe Martin – UEA2525 LIM, Uni. of La Réunion (Fr)
- Pierre Bisquert – INRA
- Pierre Marquis – CRIL, U. Artois & CNRS – Institut Universitaire de France
- Raji Ghawi – Technical University of Munich
- Robert Jäschke – Humboldt-Universität zu Berlin
- Sebastian Rudolph – TU Dresden
- Serena Villata – CNRS – Laboratoire d’Informatique, Signaux et
Systèmes de Sophia-Antipolis
- Sergei Obiedkov – National Research University Higher School of Economics
- Simon Polovina – Sheffield Hallam University
- Simon Andrews – Sheffield Hallam University
- Srdjan Vesic – CRIL, CNRS – Univ. Artois
- Tanya Braun – University of Münster
- Uta Priss – Ostfalia University
*Organizing committee*
- Tanya Braun – University of Münster (General Chair)
- Diana Cristea – Babeș-Bolyai University Cluj-Napoca (Program Chair)
- Robert Jäschke – Humboldt-Universität zu Berlin (Program Chair)
--
Prof. Dr. Robert Jäschke
Humboldt University Berlin & L3S Research Center Hannover
< https://amor.cms.hu-berlin.de/~jaeschkr/ >< +49 (0)30 2093-70960 >
< https://weltliteratur.net/ >>>>><<<<< https://dev.bibsonomy.org/ >
(with apologies for cross postings)
Please consider to contribute to and/or forward to the appropriate groups.
========
REMINDER
========
=======================================================
The deadline for paper submissions is 31 DECEMBER 2021.
=======================================================
=======================================================
CDUD 2022
Special Session on Concept Discovery in Unstructured Data
at the 14th Asian Conference on Intelligent Information and Database
Systems (ACIIDS 2022)
Almaty, Kazakhstan, June 6-9, 2022
Conference website: http://www.aciids.pwr.edu.pl/
=======================================================
Objectives and topics
Concept discovery is a subdomain of Knowledge Discovery (KDD) and AI
that uses human-centered techniques such as Formal Concept Analysis
(FCA), Topic Modeling, Visual Text Representations, Conceptual Graphs
etc. for gaining insight into the underlying conceptual structure of the
data. Traditional machine learning techniques are mainly focusing on
structured data whereas most data available resides in unstructured,
often textual, form. Compared to traditional data mining techniques,
human-centered instruments actively engage the domain expert in the
discovery process.
This special session welcomes papers describing innovative research on
data discovery techniques. Moreover, this workshop intends to provide a
forum for researchers and developers of data mining instruments, working
on issues associated with analyzing unstructured data. First, we are
interested in methods for transforming unstructured into semi-structured
information. Unstructured information such as texts or images can be
tagged, keywords can be extracted from texts by means of Natural
Language Processing methods, etc. For example, recently so-called
Learning Representations such as Text Vectors or Visual Words have
gained much attention in the domain of unstructured data. Second, in
this workshop we also particularly welcome research on using
human-centered instruments such as FCA to analyze unstructured and
semi-structured data. Applications in which we are interested include
but are not limited to Text Mining and Web Mining including forums,
blogs, social sharing systems like Twitter and Facebook, mining
sociological interviews, etc. We are also interested in innovative
instruments for dealing with interpretability, fairness, transparency,
knowledge incompleteness and asymmetry. CDUD 2022 is the fourth edition
of the three preceding workshops: CDUD 2016 (Moscow, Russia, 2016;
website: https://cla2016.hse.ru/cdud; Proceedings:
http://ceur-ws.org/Vol-1625/), CDUD 2012 (Leuven, Belgium, 2012;
Proceedings: http://ceur-ws.org/Vol-871/), and CDUD 2011 (Moscow,
Russia, 2011; Proceedings: http://ceur-ws.org/Vol-757/).
The scope of the CDUD 2022 includes (but not limited) the following topics:
- Applications of FCA for discovery purposes
- Association Rules and Frequent Closed Itemsets
- Biclustering and Multimodal clustering
- Conceptual Clustering
- Dealing with knowledge incompleteness and asymmetry
- Deep Learning for Text Representations
- Discovery techniques for conceptual models
- Explainable, fair and transparent AI
- Efficient indexing and structuring algorithms
- Formal Concept Analysis and Rough Sets
- Graph Mining and Learning
- Pattern Mining for Intelligent Transport
- Knowledge discovery and representation
- Natural Language Processing
- Ontology Learning from text
- Probabilistic concept discovery
- Patterns in Big Data and No-SQL databases
- Recommender Systems
- Text Mining and Text Kernels
- Topic Modeling
- Visual Analytics
Submission Details
All contributions should be original and not published elsewhere or
intended to be published during the review period. Authors are invited
to submit their papers electronically in pdf format, through EasyChair.
All the special sessions are centralized as tracks in the same
conference management system as the regular papers. Therefore, to submit
a paper please activate the following link and select the track: CDUD
2022: Special Session on Concept Discovery in Unstructured Data.
https://easychair.org/conferences/?conf=aciids2022
Authors are invited to submit original previously unpublished research
papers written in English, of up to 13 pages, strictly following the
LNCS/LNAI format guidelines. Authors can download the Latex
(recommended) or Word templates available at Springer's web site.
Submissions not following the format guidelines will be rejected without
review. To ensure high quality, all papers will be thoroughly reviewed
by the CDUD 2022 Program Committee. All accepted papers must be
presented by one of the authors who must register for the conference and
pay the fee. The conference proceedings will be published by Springer in
the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI
Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus,
etc.).
Important Dates
Submission of papers: 31 December 2021
Notification of acceptance: 1 February 2022
Camera-ready papers: 15 February 2022
Registration & payment: 15 February 2022
Conference date: 6-9 June 2022
Organization
Assoc. Prof. Dr. Jaume Baixeries
Department of Computer Science
Universitat Politècnica de Catalunya, Barcelona, Catalonia, Spain
E-mail: jbaixer(a)cs.upc.edu
Prof. Dr. Leonard Kwuida
Business School, Institute for Applied Data Science and Finance
Bern University of Applied Sciences, Bern, Switzerland
E-mail: leonard.kwuida(a)bfh.ch
Prof. Dr. Radhakrishnan Delhibabu
School of Computer Science and Engineering
VIT University, Tamilnadu, India
E-mail: rdelhibabu(a)gmail.com
Ass. Prof. Dr. Dmitry I. Ignatov
School of Data Analysis and Artificial intelligence and
Laboratory for Models and Methods of Computational Pragmatics (Head)
National Research University Higher School of Economics, Moscow, Russia
E-mail: dignatov(a)hse.ru
Program Committee (to be invited)
Secretary: Aliya Nugumanova, S. Amanzholov East Kazakhstan State
University, Kazakhstan
Kuanysh Abeshev, Almaty Management University (AlmaU), Kazakhstan
Simon Andrews, Sheffield Hallam University, United Kingdom
Vladimir Barakhnin, Novosibirsk State University, Russia
Alexei Buzmakov, National Research University Higher School of
Economics, Russia
Inma P. Cabrera, Universidad de Málaga, Spain
Víctor Codocedo, LORIA, Nancy
Pablo Cordera, Universidad de Málaga, Spain
Florent Domenach, Akita International university
Bernd Fischer, Stellenbosh University, South Africa
Gillian Greene, Stellenbosh University, South Africa
Dmitry Ilvovsky, National Research University Higher School of
Economics, Russia
Martin Trnecka, UPOL, Czech Republic
Sergey Zykov, National Research University Higher School of Economics,
Russia
Mehdi Kaytoue, LORIA, Lyon, France
Francesco Kriegel, TU Drezden, Germany
Sergei O. Kuznetsov, National Research University Higher School of Economics
Jan Konecny, Dept. Computer Science, Palacky University, Olomouc
Natalia Loukachevitch, Lomonosov Moscow State University, Russia
Madina Mansurova, Al-Farabi Kazakh National University, Kazakhstan
Dmitry Mouromtsev, National Research University of Information
Technologies, Mechanics and Optics, Russia
Xenia Naidenova, Military Medical Academy, Russia
Amedeo Napoli, LORIA, Nancy, France
Alexey Neznanov, National Research University Higher School of
Economics, Russia
Artem Revenko, Semantic Web Company, Vienna, Austria
Alexander Panchenko, Skolkovo University of Technology, Russia and
Tehcnische Universitat Darmstadt, Germany
Uta Priss, Edinburgh Napier University, United Kingdom
Jan Outrata, Dept. Computer Science, Palacky University, Czech Republic
Dmitry Ustalov, Ural Federal University, Russia
Baris Sertkaya, Frankfurt University of Applied Sciences, Germany
Dominik Slezak, University of Warsaw, Poland
Rustam Tagiew, German Center for Railway Traffic Research, Dresden, Germany
Jesus Medina Moreno, University of Cádiz, Spain
Rinat Zhukenov, National Information Technologies JSC, Nur-Sultan,
Kazakhstan