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08421 Working Group: Imprecision, Diversity and Uncertainty: Disentangling Threads in Uncertainty Management Spiliopoulou, Myra van Keulen, Maurice Lenz, Hans-Joachim Wijsen, Jef Renz, Matthias Kruse, Rudolf Stern, Mirco Uncertainty of data uncertainty of models measuring uncertainty propagating uncertainty challenges of dealing with uncertainty We report on the results of Workgroup 1 on "Imprecision, Diversity and Uncertainty". We set the scene by elaborating on where uncertainty comes from and what the ground truth is. In real world applications, the data observed may not be as expected: they may violate constraints, or, more generally, disagree with the anticipated model of the world. This leads to two orthogonal cases: The data may be erroneous, i.e. they must be corrected. Or, the model may outdated and must be adjusted to the data. After elaborating on this fundamental distinction, we address the issues of measuring uncertainty and exploiting uncertainty in real applications. We conclude with a list of challenges that should be addressed when dealing with uncertainty. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Myra Spiliopoulou and Maurice van Keulen and Hans-Joachim Lenz and Jef Wijsen and Matthias Renz and Rudolf Kruse and Mirco Stern 2009 Is Part Of Dagstuhl Seminar Proceedings, Volume 8421, Uncertainty Management in Information Systems (2009) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08421.5 urn:nbn:de:0030-drops-19375 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08421.5 eng https://creativecommons.org/licenses/by/4.0/legalcode