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 machine learning and artificial intelligence applications, such as intelligent search, question-answering, recommendation, 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, definitions, schema induction, acquisition, related representative graphs/systems, and applications. The development processes and trends are studied therein. We further summarize perspective directions to facilitate future research on EKG.
翻译:除了通常以知识图(KG)组织的实体中心知识外,活动也是世界上一种必不可少的知识类型,它引发了事件中心知识代表形式,如KG事件(KG)的出现,在许多机器学习和人工智能应用中发挥着越来越重要的作用,例如智能搜索、问答、建议和生成文本。本文从历史、本体学、实例和应用观点的角度对EKG进行了全面调查。具体地说,为了对EKG进行透彻的定性,我们侧重于其历史、定义、系统、获取、相关代表性图表/系统和应用。其中研究了开发过程和趋势。我们进一步概述了促进EKG未来研究的视角方向。