Program updated - Sept. 20 ( click here )

About SUM 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.

The proceedings of SUM 2017 will be published by Springer in the Lecture Notes in Artificial Intelligence series.

Past SUMs

SUM 2007, Washington DC, USA

SUM 2008, Napoli, Italy

SUM 2009, Washington DC, USA

SUM 2010, Toulouse, France

SUM 2011, Dayton, Ohio, USA

SUM 2012, Marburg, Germany

SUM 2013, Washington DC Area, USA

SUM 2014, Oxford, UK

SUM 2015, Qu├ębec city, Canada

SUM 2016, Nice, France

Supported by:


Organized by:

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