EventKG+TL: Creating Cross-Lingual Timelines from an Event-Centric Knowledge Graph
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 May 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 1.
4 papers.
- 2021What is Event Knowledge Graph: A Surveycited by 19
- 2024Neurosymbolic Methods for Dynamic Knowledge Graphscited by 3
- 2023OEKG: The Open Event Knowledge Graphcited by 2
- 2023LaSER: Language-Specific Event Recommendationcited by 0
- 2024Neurosymbolic Methods for Dynamic Knowledge Graphs6 Sep 2024
- 2023OEKG: The Open Event Knowledge Graph28 Feb 2023
- 2023LaSER: Language-Specific Event Recommendation24 Feb 2023
- 2021What is Event Knowledge Graph: A Survey31 Dec 2021