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What is Event Knowledge Graph: A Survey (2112.15280v2)

Published 31 Dec 2021 in cs.LG, cs.AI, and cs.CL

Abstract: Besides entity-centric knowledge, usually organized as Knowledge Graph (KG), events are also an essential kind of knowledge in the world, which trigger the spring up of event-centric knowledge representation form like Event KG (EKG). It plays an increasingly important role in many downstream applications, such as search, question-answering, recommendation, financial quantitative investments, and text generation. This paper provides a comprehensive survey of EKG from history, ontology, instance, and application views. Specifically, to characterize EKG thoroughly, we focus on its history, definition, schema induction, acquisition, related representative graphs/systems, and applications. The development processes and trends are studied therein. We further summarize prospective directions to facilitate future research on EKG.

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Authors (8)
  1. Saiping Guan (14 papers)
  2. Xueqi Cheng (274 papers)
  3. Long Bai (89 papers)
  4. Fujun Zhang (4 papers)
  5. Zixuan Li (64 papers)
  6. Yutao Zeng (18 papers)
  7. Xiaolong Jin (38 papers)
  8. Jiafeng Guo (161 papers)
Citations (47)

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