SUM 2017: 11th International Conference on Scalable Uncertainty Management High Technical School of Computer Science and Telecommunications of the University of Granada Granada, Spain, October 4-6, 2017 |
Conference website | http://idbis.ugr.es/sum2017/ |
Abstract registration deadline | April 3, 2017 |
Submission deadline | April 3, 2017 |
The International Conference on Scalable Uncertainty Management (SUM) is an annual conference that was launched in 2007 with the goal to exploit and strengthen the connection between the Artificial Intelligence and Database communities. It aims at bringing together all those researchers interested in the management of uncertain, incomplete or inconsistent information. Such information originates commonly in applications where significant computational effort is needed to process data in a meaningful and semantically justifiable manner. Typical applications of that kind include databases, the Web, and the life sciences.
In 2017, SUM will take place in Granada, Spain, October 4-6, 2017.
Papers are solicited in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information. These include (but are not restricted to) applications in decision support systems, risk analysis, machine learning, belief networks, logics of uncertainty, belief revision and update, argumentation, negotiation technologies, semantic web applications, search engines, ontology systems, information fusion, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.
Submission Guidelines
SUM 2017 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
List of Topics
- 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
Committees
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General Chair
- Daniel Sánchez - University of Granada, Spain
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Program Committee Chairs
- Serafín Moral - University of Granada, Spain
- Olivier Pivert - IRISA, University of Rennes, France
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Steering Committee
- Didier Dubois, CNRS IRIT, France
- Lluis Godo, IIIA-CSIC, Spain
- Eyke Hüllermeier, Paderborn University, Germany
- Anthony Hunter, University College London, UK
- Henri Prade, CNRS IRIT, France
- Steven Schockaert, Cardiff University, UK
- VS Subrahmanian, University of Maryland, USA
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Proceedings Chair
- Nicolás Marín - University of Granada, Spain
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Local Organization
- Alexis G. Arroyo - University of Granada, Spain
- Nicolás Marín - University of Granada, Spain
- Gustavo Rivas-Gervilla - University of Granada, Spain
- M. Dolores Ruiz Jiménez - University of Cádiz, Spain
- Daniel Sánchez - University of Granada, Spain
- José Manuel Soto - University of Córdoba, Spain
Publication
Accepted long and short papers will be published by Springer in the Lecture Notes in Artificial Intelligence 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 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).
Venue
The conference is held at the High Technical School of Computer Science and Telecommunications of the University of Granada. This faculty is one of the most reputed schools in Europe, due in large part to the research in Computer Science and Artificial Intelligence.
It is located in the Universitary Campus of Aynadamar, next to the Research Centre for Information and Communications Technologies of the University of Granada (CITIC-UGR) and the Business Centre for Information and Communications Technologies of the University of Granada (CETIC-UGR) .
Contact
Daniel Sánchez
Escuela de Ingeniería Informática y de Telecomunicaciones
Avda. Daniel Saucedo S/N
18071 Granada - Spain
E-mail: daniel@decsai.ugr.es