Connectionists: Scalable Uncertainty Mangement 2024 (November 27-29, Palermo): second call for paper

[sdesterc]

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Conference announcement + key dates
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The 16th International Conference on Scalable Uncertainty Management (SUM 2024) will be held in Palermo, Italy from November 27-29, 2024. 
See: https://sum2024.unipa.it/ 
Key dates (CET 23:59):

Abstract Submission (optional but useful to organizers): June 17, 2024
Paper Submission: June 24, 2024 
Notification: August 31, 2024
Camera-ready copies: September 15, 2024
Conference: Nov. 27-29, 2024

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Description
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Established in 2007, the SUM conferences are currently bi-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.


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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

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Submission Guidelines
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SUM 2024 solicits original papers in the following three categories:

- Long papers (at most 14 pages, references excluded): technical papers reporting original research or survey papers

- Short papers (between 4 and 7 pages, references excluded): 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=sum2024

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Publication
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Accepted long (at most 14 pages) and short papers (2-7 pages) will be published 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 abstracts (2 pages) 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).

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Organization
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Sébastien Destercke (Université de technologie de Compiègne), PC Co Chair
Maria Vanina Martinez (IIIA-CSIC), PC Co Chair
Giuseppe Sanfilippo, (University of Palermo), General/Local Chair