Scalable Uncertainty Management 11th International Conference, SUM 2017, Granada, Spain, October 4-6, 2017, Proceedings

• Main Authors: Moral, Serafín, Pivert, Olivier, Sánchez, Daniel, Marín, Nicolás
• Format: eBook Conference Proceeding
• Language: English
• Published: Cham Springer Nature 2017; Springer International Publishing AG; Springer International Publishing; Springer
• Edition: 1
• Series: Lecture Notes in Computer Science
• Subjects: Artificial Intelligence; Computer Appl. in Administrative Data Processing; Computer Science; Logics and Meanings of Programs; Mathematical Logic and Formal Languages; Mathematics of Computing; Software Engineering/Programming and Operating Systems; Special computer methods
• ISBN: 9783319675824; 3319675826; 9783319675817; 3319675818
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-67582-4

This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017.  The 24 full and 6 short papers presented in this volume were carefully reviewed and selected from 35 submissions. The book also contains 3 invited papers. Managing uncertainty and inconsistency has been extensively explored in Artificial Intelligence over a number of years. Now, with the advent of massive amounts of data and knowledge from distributed, heterogeneous, and potentially conflicting sources, there is interest in developing and applying formalisms for uncertainty and inconsistency in systems that need to better manage this data and knowledge. The International Conference on Scalable Uncertainty (SUM) aims to provide a forum for researchers who are working on uncertainty management, in different communities and with different uncertainty models, to meet and exchange ideas.