March 2022 - fca-list - lists.cs.uni-kassel.de

Postdoc position : knowledge representation IRIT - Airbus

by Cassia TROJAHN

(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*

2 years

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Postdoc position at INRAE Montpellier, France – Semantic Web, Data linking

by Danai Symeonidou

** ** *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.* * *

2 years

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final CfP (extended deadline): 27th International Conference on Conceptual Structures

by Robert Jäschke

*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/ >

2 years, 1 month

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Erratum - CfP-CLA2022: The 16th International Conference on Concept Lattices and Their Applications

by Pablo Cordero Ortega

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/>

2 years, 1 month

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IFCS 2022 - Porto-Portugal - 19-23 July - 3rd Call for Papers - Deadline 31 March

by Maria Paula Brito

[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 !

2 years, 1 month

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ACM RecSys 2022 - Call for RecSys Challenge 2022

by acmrecsys＠gmail.com

* 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

2 years, 1 month

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Extended Deadline (March 20, 2022) - Call For Papers - CLA 2022: The 16th International Conference on Concept Lattices and Their Applications

by Pablo Cordero Ortega

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/>

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IPMU 2022 - Call for Abstracts

by Davide Elio Ciucci

******** 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.

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3rd and final CfP. CLA2022: The 16th International Conference on Concept Lattices and Their Applications

by Pablo Cordero Ortega

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

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2024

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fca-list March 2022