This paper presents an approach to modeling progressive event-history data when the overall objective is prediction based on time-dependent covariates. This approach does not model the hazard function directly. Instead, it models the process of the state indicators of the event history so that the time-dependent covariates can be incorporated and predictors of the future events easily formulate...

In this paper we outline the importance of event-centric documentation for structuring cultural metadata and historical context. Historical analysis can be seen as an analysis of events involving participation of people and things, meeting each other and thus creating history. Event modeling is so abstract that it can be used to describe cultural items and documentations of scientific observati...

Script is a kind of structured knowledge extracted from texts, which contains sequence events. Based on such knowledge, script event prediction aims to predict the subsequent event. To do so, two aspects should be considered for events, namely, description (i.e., what events contain) and encoding how they encoded). Most existing methods describe an by verb together with few core arguments subje...

Simplifying and structuring qualitatively complex knowledge, quantifying it in a certain way to make it reusable and easily accessible are all aspects that are not new to historians. Computer science is currently approaching a solution to some of these problems, or at least making it easier to work with historical data. In this paper, we propose a historical knowledge representation model takin...

The aim of event history analysis is to explain why certain individuals are at a higher risk than others of experiencing the event(s) of interest. This can be accomplished by using special types of methods which, depending on the field in which they are applied, are called failure-time models, life-time models, survival models, transition-rate models, response-time models, event history models,...