期刊
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
卷 35, 期 7, 页码 7569-7589出版社
IEEE COMPUTER SOC
DOI: 10.1109/TKDE.2022.3180362
关键词
Event knowledge graph; schema; event acquisition; script event prediction; temporal knowledge graph prediction
In addition to entity-centric knowledge organized as Knowledge Graph (KG), events are also an important form of knowledge that led to the emergence of event-centric knowledge representation forms like Event KG (EKG). EKG plays a crucial role in various 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 perspectives, including its development processes, trends, and prospective directions for future research.
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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