The 3rd IEEE Workshop on Interactive Visual Text Analytics: Integrated Analysis of Heterogeneous Data and Ubiquitous Text Analytics IEEE VIS 2013 Atlanta, GA USA October 2013 http://www.textvis.org Much research has been reported on visual text analytics for plain text documents viewed in traditional analytic settings. In this workshop, we would like to push the boundary of visual text analytics toward heterogeneous textual data (text associated with other data types) and ubiquitous text analytics. First, we would like to use the workshop to collect various use cases about heterogeneous data and ubiquitous text analytics. From the use cases, we hope to better understand the requirements of heterogeneous textual data analysis from a task-driven perspective. Although there is some work on visual analysis of heterogeneous textual data, there is not a clear understanding of the typical tasks that people would like to achieve in analyzing heterogeneous textual data. Moreover, how will different tasks influence the design and development of both text analytics and visualization technologies? We thus would like to leverage the workshop to examine a number of use cases and draft a taxonomy that characterizes the design dimensions of the space and guide the future design and development. Second, based on the use cases, we would like to use this workshop to examine how to best leverage state-of-the-art text analytics and traditional data mining techniques in conjunction with novel interactive visual analytics to address the challenges manifested by the collected use cases. PAPER SUBMISSION ================== We invite 2-4 page position paper submissions that address topics related to interactive visual analysis of heterogeneous data or visual analysis of text data on mobile devices or in ubiquitous scenarios, with a requirement that every submission must clearly state one or more concrete use cases, including the tasks to be achieved, the two or more types of data to be analyzed, and data analytic methods used. Topics of interest include but are not limited to: * Task taxonomy of analysis of heterogeneous textual data or ubiquitous text analytics * Visual metaphors for heterogeneous textual data or ubiquitous text analytics * Coordinated visualizations of textual and non-textual data * Perception and cognition in heterogeneous data visualization or ubiquitous text analytics * Mobile visual text analytics and mobile visual interaction * Systems, languages, and architectures for heterogeneous textual data analysis * Collaborative analysis of heterogeneous textual data * Real-time visualization of streaming heterogeneous textual data * Opinion summarization from heterogeneous textual data * Visual event identification and prediction from heterogeneous textual data * Uncertainty in interactive heterogeneous textual data analysis or ubiquitous text analytics * Industry-specific applications of visual analysis of heterogeneous textual data (e.g. Retail, Healthcare, Government, etc.) * Studies and evaluation of heterogeneous textual data visualization techniques, systems, metrics, and bench-marks * Datasets and tasks for visual text analysis of heterogeneous textual data IMPORTANT DATES ================= August 31st: Position paper due September 14th: Notification October 1st: Final version of papers due October 14th: Visual text analytics workshop Please submit your position papers by email to: textvis@us.ibm.com ORGANIZERS ================= Christopher Collins (University of Ontario Institute of Technology) Eser Kandogan (IBM Almaden Research Center) Shixia Liu (Microsoft Research Asia) Michelle X. Zhou (IBM Almaden Research Center) Chad Steed (Oak Ridge National Laboratory)