Time is a powerful and common attribute for exploring information, and timelines can be an excellent way to help represent and explore temporal data. Most timelines hit problems when the dataset has a large number of values or attributes, or when the data to be conveyed is multidimensional. We previously introduced Continuum, a tool to support rich temporal visualisations by allowing nested hie...

During our constant interaction with computers, we generate large amounts of personal information. However, it is often hard to find a certain item we are looking for, since our data is spread throughout several places and applications. Nevertheless, a meaningful visualization technique may be the solution to this problem. We present VisMe, an interactive integrated visualization system for per...

Excessive wait times for magnetic resonance imaging (MRI) studies are a major problem in the Canadian healthcare system. To determine how requests for MRI studies are managed, the authors performed a survey of public MRI facilities in Canada. Ninety-six per cent had some method to triage MRI requests. However, only 42% had documented guidelines for prioritization, and none employed quality assu...

Rebuilding depleted fish stocks is an international policy goal and a 2020 Aichi target under the Convention on Biological Diversity. However, stock productivity may shift with future climate change, with unknown consequences for sustainable harvesting, biomass targets and recovery timelines. Here we develop a stochastic modelling framework to characterize variability in the intrinsic productiv...

In this paper, we describe a system for automatic construction of user disease progression timelines from their posts in online support groups using minimal supervision. In recent years, several online support groups have been established which has led to a huge increase in the amount of patient-authored text available. Creating systems which can automatically extract important medical events a...

This demo paper presents a system that builds a timeline with salient actions of a soccer game, based on the tweets posted by users. It combines information provided by external knowledge bases to enrich the content of tweets and applies graph theory to model relations between actions (e.g. goals, penalties) and participants of a game (e.g. players, teams). In the demo, a web application displa...

Broadcasts and timelines are the primary mechanism of information exchange in online social platforms today. Services like Facebook, Twitter and Instagram have enabled ordinary people to reach large audiences spanning cultures and countries, while their massive popularity has created increasingly competitive marketplaces of attention. Timing broadcasts to capture the attention of such geographi...

We propose a new approach to characterizing the timeline of a text: temporal dependency structures, where all the events of a narrative are linked via partial ordering relations like BEFORE, AFTER, OVERLAP and IDENTITY. We annotate a corpus of children’s stories with temporal dependency trees, achieving agreement (Krippendorff’s Alpha) of 0.856 on the event words, 0.822 on the links between eve...

In this paper we study the problem of answering connectivity queries about a graph timeline. A graph timeline is a sequence of undirected graphs G1, . . . , Gt on a common set of vertices of size n such that each graph is obtained from the previous one by an addition or a deletion of a single edge. We present data structures, which preprocess the timeline and can answer the following queries: •...

As web searches increase, there is a need to represent the search results in the most comprehensible way possible. In particular, we focus on search results from queries about people and places. The standard method for presentation of search results is an ordered list determined by the Web search engine. Although this is satisfactory in some cases, when searching for people and places, presenti...