IRMay 3, 2018

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

arXiv:1805.01359v217 citations
Originality Synthesis-oriented
AI Analysis

This addresses the need for intuitive, multilingual event overviews for users interested in historical or contemporary events, but it is incremental as it builds on existing EventKG.

The paper tackles the problem of generating cross-lingual event timelines from an event-centric knowledge graph, resulting in a system that provides language-specific event relevance and popularity overviews.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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