CALL FOR PAPERS AND EXTENDED ABSTRACTS - SUM 2026 (Extended deadlines)

[Lluis Godo]

APOLOGIES FOR CROSS-POSTING
——

 

The 17th International Conference on Scalable Uncertainty Management (SUM2026)
21–23 October 2026, Athens, Greece

 

**** EXTENDED DEADLINES ****

 

Long and short papers: June 15, 2026
Extended abstracts: July 15, 2026

 

Call for Papers and Abstracts

 

We solicit papers and extended abstracts on the management of large amounts of complex kinds of uncertain, incomplete, or inconsistent information. We welcome both theoretical contributions and application-driven research demonstrating uncertainty management techniques in real-world domains. We are particularly interested in papers that focus on bridging gaps, for instance between different communities, between statistical and symbolic approaches, uncertainty reasoning and modern machine learning systems, or between theoretical foundations and practical applications.

 

In addition to the extended deadline for long and short papers, we would like to draw special attention to the possibility of submitting extended abstracts until July 15, 2026. This option is intended for authors who would like to contribute to SUM 2026 and present relevant work-in-progress or work that has been previously published in recognized journals or conferences, but may not be able to prepare an original long or short paper. Extended abstracts provide an opportunity to share ongoing work and previously published results with the SUM community and take part in the conference discussions.

 

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 2026 solicits submissions 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 recognized journals or conferences or summaries of relevant work-in-progress

 

Long 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. Extended abstracts of recently published work should reference the original publication. For the final version of accepted long and short papers, authors may use an additional page to address the reviewers’ comments. Long and short papers may therefore extend to 15 and 8 pages, respectively (including references). All submissions will undergo double-blind peer review by members of the program committee.

 

All SUM submissions must be formatted according to the LNCS/LNAI guidelines, and uploaded as a single PDF file via Chairingtool at the following URL: https://chairingtool.com/conferences/sum2026/main-track?role=author

 

Publication

 

Accepted long and short papers will be considered for publication by Springer in the Lecture Notes in Artificial Intelligence (LNAI) series. Authors of an accepted long or short paper will be expected to sign copyright release forms, and one author is expected to give a presentation at the conference. Authors of accepted extended abstracts will be expected to present their work during the conference, but the extended abstracts will not be published in the LNCS/LNAI proceedings (they will be made available in a separate booklet).

 

Organization

 

Conference Chair: Petros Stefaneas, National Technical University of Athens, Greece

 

Local Committee Chair: Sofia Almpani, National Technical University of Athens, Greece

 

Program Chairs: 
Inés Couso, University of Oviedo, Spain,
Michael Sioutis, University of Montpellier, France

 

Steering Committee:
Salem Benferhat, Artois University, France
Didier Dubois, IRIT-CNRS, France
Lluís 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

 

IMPORTANT DATES
Long and short paper submissions: June 15, 2026
Extended abstract submissions: July 15, 2026
Notification: July 31, 2026
Camera-ready copies: August 15, 2026
Conference: October 21-23, 2026
Registration: from August 1, 2026