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

所属专题: 知识图谱

• 专题:基于大数据的知识图谱及其应用 • 上一篇    下一篇

事件图谱的构建、推理与应用

胡志磊1,2,3, 靳小龙1,2,3, 陈剑赟4, 黄冠利5   

  1. 1 中国科学院网络数据科学与技术重点实验室,北京 100190
    2 中国科学院计算技术研究所,北京 100190
    3 中国科学院大学计算机科学与技术学院,北京 100049
    4 北京市信息技术研究所,北京 100091
    5 北京电子科技职业学院,北京 100176
  • 出版日期:2021-05-15 发布日期:2021-05-01
  • 作者简介:胡志磊(1996- ),男,中国科学院计算技术研究所博士生,主要研究方向为知识图谱、信息抽取、自然语言处理。
    靳小龙(1976- ),男,博士,中国科学院计算技术研究所研究员,主要研究方向为知识工程、知识计算、知识图谱。
    陈剑赟(1977- ),女,博士,北京市信息技术研究所高级工程师,主要研究方向为智能信息处理、系统工程。
    黄冠利(1975- ),女,博士,北京电子科技职业学院基础学院数学部副教授,主要研究方向为计算数学、智能信息处理。
  • 基金资助:
    国家重点研发计划资助项目(2016QY02D0404);国家自然科学基金资助项目(U1911401);国家自然科学基金资助项目(61772501);国家自然科学基金资助项目(62002341);国家自然科学基金资助项目(U1836206)

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)

摘要:

近些年,知识图谱的构建技术得到了极大的发展,构建好的知识图谱已经被应用到众多领域。在此基础上,研究者将目光从知识图谱转向事件图谱。事件图谱以事件为核心,准确地描述了事件信息以及事件之间的关联关系。基于此,总结了事件图谱在构建、推理与应用方面的关键技术,主要包括事件抽取、事件信息补全、事件关系推断以及事件预测技术。给出了事件图谱的具体应用场景,并且针对事件图谱研究中存在的挑战,对未来的研究趋势进行了展望。

关键词: 知识图谱, 事件图谱, 事件知识, 事件抽取, 事件推理

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

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