Big Data Research ›› 2021, Vol. 7 ›› Issue (3): 80-96.doi: 10.11959/j.issn.2096-0271.2021027

Special Issue: 知识图谱

• TOPIC:BIG DATA BASED KNOWLEDGE GRAPH AND ITS APPLICATIONS • Previous Articles     Next Articles

Construction, reasoning and applications of event graphs

Zhilei HU1,2,3, Xiaolong JIN1,2,3, Jianyun CHEN4, Guanli HUANG5   

  1. 1 Key Laboratory of Network Data Science &Technology, Chinese Academy of Sciences, Beijing 100190, China
    2 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
    3 School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China
    4 Beijing Institute of Information Technology, Beijing 100091, China
    5 Beijing Polytechnic, Beijing 100176, China
  • Online:2021-05-15 Published:2021-05-01
  • Supported by:
    The National Key Research and Development Program of China(2016QY02D0404);The National Natural Science Foundation of China(U1911401);The National Natural Science Foundation of China(61772501);The National Natural Science Foundation of China(62002341);The National Natural Science Foundation of China(U1836206)

Abstract:

In recent years, the construction technology of knowledge graphs have been greatly developed, and the constructed knowledge graphs have been applied to many fields.On this basis, the researchers turned their attention from the knowledge graph to the event graph.The event graph takes the event as the core and accurately describes the event information and the relationship between the events.The key technologies of event graphs construction, reasoning and applications were summarized, including event extraction, event information completion, event relationship inference and event prediction.Finally, the specific application scenarios of the event graphs were given, and the future research trends were prospected in view of the challenges existing in the event graph research.

Key words: knowledge graph, event graph, event knowledge, event extraction, event reasoning

CLC Number: 

No Suggested Reading articles found!