Lammarsch, TimRind, AlexanderAigner, WolfgangMiksch, SilviaKresimir Matkovic and Giuseppe Santucci2013-11-082013-11-082012978-3-905673-89-0https://doi.org/10.2312/PE/EuroVAST/EuroVA12/031-035Exploratory data analysis of time-oriented data is an important goal that Visual Analytics has to tackle. When users from real-world domains are asked about time-oriented tasks, they often refer to the unique structure of time (e.g., calendars, primitives, etc.). Several task frameworks have been developed, but none of them combines a complete, systematic approach with explicit attention to the structure of time. To fill this gap, we aim for complementing an established task framework with a rule set that explicitly models the structure of time for tasks. This rule set allows to consistently formulate tasks for evaluating time-oriented data analysis methods.Categories and Subject Descriptors (according to ACM CCS): Information Systems [H.1.1]: Models and Principles-Systems and Information Theory; Computing Methodologies [I.m]: Miscellaneous