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=========================================================================================== Call for Papers =========================================================================================== The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be held in Paris, France from October 17-19, 2022: https://sum2022.sciencesconf.org =========================================================================================== Description =========================================================================================== Established in 2007, the SUM conferences are annual events which aim to gather researchers with a common interest in managing and analyzing imperfect information from a wide range of fields, such as Artificial Intelligence and Machine Learning, Databases, Information Retrieval and Data Mining, the Semantic Web and Risk Analysis, and with the aim of fostering collaboration and cross-fertilization of ideas from the different communities. An originality of the SUM conferences is their care for dedicating a large space of their program to tutorials covering a wide range of topics related to uncertainty management. Each tutorial provides a survey of one of the research areas in the scope of the conference. =========================================================================================== Topics of Interest =========================================================================================== We solicit papers on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between numerical and symbolic approaches, or between theory and practice. Topics of interest include (but are not limited to): Imperfect information in databases - Methods for modeling, indexing, and querying uncertain databases - Top-k queries, skyline query processing, and ranking - Approximate, fuzzy query processing - Uncertainty in data integration and exchange - Uncertainty and imprecision in geographic information systems - Probabilistic databases and possibilistic databases? - Data provenance and trust - Data summarization - Very large datasets Imperfect information in information retrieval and semantic web applications - Approximate schema and ontology matching - Uncertainty in description logics and logic programming - Learning to rank, personalization, and user preferences - Probabilistic language models - Combining vector-space models with symbolic representations - Inductive reasoning for the semantic web Imperfect information in artificial intelligence - Statistical relational learning, graphical models, probabilistic inference Argumentation, defeasible reasoning, belief revision - Weighted logics for managing uncertainty - Reasoning with imprecise probability, Dempster-Shafer theory, possibility theory - Approximate reasoning, similarity-based reasoning, analogical reasoning - Planning under uncertainty, reasoning about actions, spatial and temporal reasoning - Incomplete preference specifications - Learning from data Risk analysis - Aleatory vs. epistemic uncertainty - Uncertainty elicitation methods - Uncertainty propagation methods - Decision analysis methods - Tools for synthesizing results =========================================================================================== Submission Guidelines =========================================================================================== SUM 2022 solicits original papers in the following three categories: - Long papers (14 pages): technical papers reporting original research or survey papers - Short papers (8 pages): papers reporting promising work-in-progress, system descriptions, position papers on controversial issues, or survey papers providing a synthesis of some current research trends - Extended abstracts (2 pages) of recently published work in a relevant journal or top-tier conference All SUM submissions must be formatted according to the LNCS/LNAI guidelines: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines Papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=sum2022 =========================================================================================== Dates =========================================================================================== All Deadlines are 23:59 Central European Time. Abstract Submission deadline: May 23rd, 2022 Submission deadline: May 30th, 2022 Notification: July 18th, 2022 Camera-ready copies due: August 8th, 2022 Conference: Oct. 17-19, 2022 =========================================================================================== Publication =========================================================================================== Accepted papers will be published by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. =========================================================================================== Organization =========================================================================================== Meltem Öztürk-Escoffier (Université Paris-Dauphine - PSL), General Chair Scott Ferson (University of Liverpool), PC Co Chair Nico Potyka (Imperial College London), PC Co Chair =========================================================================================== PC Members =========================================================================================== Leila Amgoud, IRIT - CNRS Alessandro Antonucci, IDSIA Nahla Ben Amor, Institut Supérieur de Gestion de Tunis Salem Benferhat, Cril, CNRS UMR8188, Université d'Artois Leopoldo Bertossi, Adolfo Ibáñez University (Santiago, Chile) & RelationalAI Inc. Fernando Bobillo, University of Zaragoza Imen Boukhris, LARODEC - Université de Tunis- ISG Tunis Rafika Boutalbi, University of Stuttgart Tanya Braun, University of Münster Davide Ciucci, Università di Milano-Bicocca Fabio Cozman, University of São Paulo Thierry Denoeux, Universite de Technologie de Compiegne Sylvie Doutre, University of Toulouse 1 - IRIT Zied Elouedi, Université de Tunis Lluis Godo, Artificial Intelligence Research Institute, IIIA - CSIC Manuel Gómez-Olmedo, Univ. de Granada Christophe Gonzales, Aix-Marseille Université, LIS, France John Grant, Towson University Arjen Hommersom, Open University of the Netherlands Eric Lefevre, LGI2A Université d'Artois Philippe Leray, LINA/DUKe - Nantes University Thomas Lukasiewicz, University of Oxford Francesca Mangili, IDSIA Silviu Maniu, Universite Paris-Sud Thomas Meyer, University of Cape Town and CAIR Serafin Moral, University of Granada Francesco Parisi, DIMES - University of Calabria Henri Prade, IRIT - CNRS Andrea Pugliese, University of Calabria Benjamin Quost, HeuDiaSyC laboratory, University of Technology of Compiègne Steven Schockaert, Cardiff University Umberto Straccia, ISTI-CNR Andrea Tettamanzi, Univ. Nice Sophia Antipolis Matthias Thimm, FernUniversität in Hagen Maurice van Keulen, University of Twente Barbara Vantaggi, Sapienza
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