情报工作与情报事业

情报与事理图谱的关联逻辑及发展思考*

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  • (1.南京大学信息管理学院   江苏南京   210023)
    (2.南京大学数据智能与交叉创新实验室   江苏南京   210023)
    (3.山东大学管理学院   山东济南   250100)
李阳(1989-),男,南京大学信息管理学院副教授,硕士生导师,研究方向:应急情报、数据治理;张诗莹,女,南京大学信息管理学院博士生,研究方向:事理图谱、数据挖掘;盛东方,女,山东大学管理学院副教授,研究方向:应急信息行为、信息资源管理。

收稿日期: 2023-03-26

  网络出版日期: 2023-05-20

基金资助

*本文系国家社会科学基金一般项目“数智赋能的重大突发公共事件预测型情报服务机制研究”(项目编号:22BTQ051)研究成果之一。

Thinking about the Associative Logic and Development of Intelligence and Eventic Graph

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Received date: 2023-03-26

  Online published: 2023-05-20

摘要

分析情报与事理图谱的关联逻辑并对其未来发展提出若干思考,旨在为事理图谱发展、基于事理图谱的情报服务创新等提供借鉴和启发。文章从信息链知识要素、复杂关系辨识、面向重大事件的服务等角度分析了情报与事理图谱的关联逻辑;提出事理图谱之于情报领域在组织风险管理、事件态势预测、用户行为挖掘等方面的赋能作用;分析了基于事理图谱的情报支持关键流程和方法;从事理图谱技术体系完善与情报应用、开源信息世界的“假关系”与数据治理、基于多模态数据的事理大图与情报图景构建等方面提出若干思考。目前,情报与事理图谱的碰撞已经取得了一定的进展,但仍然存在刻画深度不够、“工程化”等不足,两者应互为支撑、互相促进,进而面向领域搭建出全情报图景。

本文引用格式

李 阳 张诗莹 盛东方 . 情报与事理图谱的关联逻辑及发展思考*[J]. 图书与情报, 2023 , 43(02) : 120 -126 . DOI: 10.11968/tsyqb.1003-6938.2023030

Abstract

The paper analyzes the associative logic between intelligence and eventic graph, and proposes some thoughts on its future development, aiming to provide reference and inspiration for the development of eventic graph as well as the innovation of intelligence services based on eventic graph. In this paper, the associative logic of intelligence and eventic graph is analyzed in terms of information chain knowledge elements, complex relationship exploration, and services for major events. Besides the empowering role of eventic graph for intelligence field in organizational risk management, event prediction, and user behavior mining is also explored. What’s more, the key processes and methods of intelligence support based on eventic graph are analyzed. At last, the paper proposes some thoughts on the improvement of eventic graph technical system and intelligence application, data governance for “fake relationships” in open source information world, the construction of eventic graph and intelligence picture based on multimodal data. At present, some progress has been made in the collision of intelligence and eventic graph, but there are also some shortcomings such as insufficient depth of characterization and “engineering”. The two should support and promote each other to build a full intelligence picture oriented to the field.
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