Introduction
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Established in 2007, the SUM conferences 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, Logic, Uncertain reasoning, 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.
The SUM conferences were originally held annually. However, starting from 2020, they became biennial events, occurring every two years. The first SUM conference was held in Washington DC in 2007. Since then, the SUM conferences have successively taken place in Naples (2008), Washington DC (2009), Toulouse (2010), Dayton, (2011), Marburg (2012), Washington DC (2013), Oxford (2014), Quebec City (2015), Nice (2016), Granada (2017), Milan (2018), Compiègne (2019), Bolzano (2020), Paris (2022), Palermo (2024).
Topics of Interest
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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
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SUM 2026 solicits papers in the following three categories:
-Long papers: technical papers reporting original research or survey papers
-Short papers: 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 of recently published work in a relevant journal or top-tier conference
Regular research papers should be at most 14 pages (including references, figures, and tables). Short papers should be between 4 and 7 pages. Extended abstracts should be at most 2 pages and should reference the originally published work. For the final version of the accepted paper, it is possible to use an additional page to address the reviewers’ comments. Short and long papers may extend to 8 and 15 pages, respectively (including references).
Each paper is to be submitted electronically as a single PDF file via Chairingtool at the following url: https://chairingtool.com/conferences/sum2026/main-track?role=author
Organisation
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Conference Chair
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Petros Stefaneas, National Technical University of Athens, Greece
Program Chairs
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Inès Couso, University of Oviedo, Spain
Michael Sioutis, University of Montpellier, France
Steering Committee
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Salem Benferhat, Artois University, France
Didier Dubois, IRIT-CNRS, France
Lluis Godo, IIIA-CSIC, Spain
Eyke Hüllermeier, Universität Paderborn, Germany
Anthony Hunter, University College London, UK
Henri Prade, IRIT-CNRS, France
Steven Schockaert, Cardiff University, UK
V. S. Subrahmanian, Northwestern University, USA
Local Committee Chair
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Sofia Almpani, National Technical University of Athens, Greece
Please visit http://sum2026.math.ntua.gr/ for more details and contact information.