EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph

TL;DR

EventKG+TL is a system that creates cross-lingual timelines from a multilingual event-centric knowledge graph, enabling users to compare event relevance and differences across languages.

Contribution

It introduces a novel method for generating multilingual timelines from EventKG, highlighting cross-lingual event relevance and temporal differences.

Findings

Effective cross-lingual timeline generation demonstrated

Revealed language-specific event relevance patterns

Facilitated comparison of event timelines across languages

Abstract

The provision of multilingual event-centric temporal knowledge graphs such as EventKG enables structured access to representations of a large number of historical and contemporary events in a variety of language contexts. Timelines provide an intuitive way to facilitate an overview of events related to a query entity - i.e., an entity or an event of user interest - over a certain period of time. In this paper, we present EventKG+TL - a novel system that generates cross-lingual event timelines using EventKG and facilitates an overview of the language-specific event relevance and popularity along with the cross-lingual differences.