Skip to main content
COVID-19 information and screening Learn how we’re keeping our campus community safe, healthy and engaged during our gradual return to campus.
Note: Faculty, staff, students and visitors must complete the mandatory screening questionnaire before coming to campus.
Ontario Tech acknowledges the lands and people of the Mississaugas of Scugog Island First Nation.

We are thankful to be welcome on these lands in friendship. The lands we are situated on are covered by the Williams Treaties and are the traditional territory of the Mississaugas, a branch of the greater Anishinaabeg Nation, including Algonquin, Ojibway, Odawa and Pottawatomi. These lands remain home to many Indigenous nations and peoples.

We acknowledge this land out of respect for the Indigenous nations who have cared for Turtle Island, also called North America, from before the arrival of settler peoples until this day. Most importantly, we acknowledge that the history of these lands has been tainted by poor treatment and a lack of friendship with the First Nations who call them home.

This history is something we are all affected by because we are all treaty people in Canada. We all have a shared history to reflect on, and each of us is affected by this history in different ways. Our past defines our present, but if we move forward as friends and allies, then it does not have to define our future.

Learn more about Indigenous Education and Cultural Services

Computer Science Seminar - November 2, 2016

Title: Exploratory Visual Text Analysis in the Scientific Literature Domain

Speaker: Florian Heimerl, University of Stuttgart, Germany


Abstract: Interactive visual text exploration and analysis approaches have experienced an impressive upsurge in the past decade. Such text methods are typically designed to support information search and retrieval scenarios. They assume that users carry out analyses with previous knowledge about what type of information they are looking for, and facilitate fast access to it. Open exploration, in contrast, that starts with no clearly defined objectives, and with little knowledge about the data set at hand, is widely unsupported. It requires detailed, user-driven analysis loops to allow users to get an understanding of its contents and gradually develop analysis interests and goals. This talk will present three approaches to support such exploration scenarios. The first one is an interaction technique that enables the exploration or document spatializations at arbitrary levels of granularity. The second project explores an approach to support human users with data foraging and filtering for information needs that manifest during exploration. The third approach has been specifically designed for the exploration of scientific literature data sets. It visually embeds the contents of scientific documents within their metadata contexts, facilitating joint exploration. Moreover, the talk will briefly introduce a data set of VIS publication, which is an open resource for scientific literature data from the VIS community.


Biography: Florian Heimerl is a doctoral candidate at the Institute for Visualization and Interactive Systems at the University of Stuttgart, Germany. He received his Diplom degree in computational linguistics from the Natural Language Processing Institute at University of Stuttgart in 2011. His research interests are interactive visualization and visual analytics of text data, with a particular focus of application on scientific literature collections.