FYI, papers related to imprecise probabilities are welcome at this series of conferences
From: Lluis Godo Sent: Thursday, May 26, 2022 12:15 AM
*** 15th International Conference on Scalable Uncertainty Management (SUM 2022) *** *** Paris, France, October 17-19, 2022 ***
Dear colleague,
Apologies if you receive multiple copies. Please forward this call to interested parties.
We have extended the submission deadline for SUM 2022 to **June 13, 2022** (no need to submit an abstract).
We are happy to announce that the following talks and tutorials have been confirmed so far: _Invited Talks:_
- Silja Renooij - TBA
- Francesca Toni - TBA
_Tutorials____(there will be other tutorials):_
- Christophe Gonzales - Decision under Uncertainty
- Denis Bouyssou - Preference Modelling
- Diedrich Wolter - Geometric and Logic Commitments in Knowledge Graph
- Jean-Guy Mailly - Constrained Incomplete Argumentation Frameworks
- Jeremy Rohmer - Dealing with Imperfect Knowledge in Natural Hazard Assessments: Beyond Classical Probabilities and Challenges
- Michael Poss - Robustness in Optimisation
- Tanya Braun - Statistical Relational Learning
**** We want to reassure authors that we are monitoring the coronavirus situation and exploring contingency plans for a virtual conference should a physical conference not be possible. Regardless, the proceedings will go ahead and will be published this year. ****
Best regards
Florence, Meltem, Nico======================================================================== Call for Papers
The 15th International Conference on Scalable Uncertainty Management (SUM 2022) will be held in Paris, France from October 17-19, 2022.
See: 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 possibility theory
- Statistical relational learning, graphical models, probabilistic inference
- Argumentation, defeasible reasoning, belief revision
- Weighted logics for managing uncertainty
- Reasoning with imprecise probability, Dempster-Shafer 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-gui...
Papers should be submitted via EasyChair:https://easychair.org/conferences/?conf=sum2022
======================================================================= Dates
All Deadlines are 23:59 Central European Time. Submission deadline: June 13, 2022 Notification: July 18, 2022 Camera-ready copies due: August 8, 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 Florence Dupin de Saint-Cyr (IRIT, Université Toulouse 3), 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, Universidad Adolfo Ibanez, Santiago, Chile & Skema Business School, Montreal, Canada 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
--