Yang Bo, Yang Meifang
School of Information Management, Jiangxi University of Finance and Economics, Nanchang, 30013 China.
Institute of Information Resources Management, Jiangxi University of Finance and Economics, Nanchang, 330013 China.
Neural Comput Appl. 2022;34(12):9455-9470. doi: 10.1007/s00521-021-06382-z. Epub 2021 Aug 24.
In the era of big data, the field of enterprise risk is facing considerable challenges brought by massive multisource heterogeneous information sources. In view of the proliferation of multisource and heterogeneous enterprise risk information, insufficient knowledge fusion capabilities, and the low level of intelligence in risk management, this article explores the application process of enterprise knowledge service models for rapid responses to risk incidents from the perspective of semantic reasoning and data fusion and clarifies the elements of the knowledge service model in the field of risk management. Based on risk data, risk decision making as the standard, risk events as the driving force, and knowledge graph analysis methods as the power, the risk domain knowledge service process is decomposed into three stages: prewarning, in-event response, and postevent summary. These stages are combined with the empirical knowledge of risk event handling to construct a three-level knowledge service model of risk domain knowledge acquisition-organization-application. This model introduces the semantic reasoning and data fusion method to express, organize, and integrate the knowledge needs of different stages of risk events; provide enterprise managers with risk management knowledge service solutions; and provide new growth points for the innovation of interdisciplinary knowledge service theory.
在大数据时代，企业风险领域正面临着由海量多源异构信息源带来的巨大挑战。鉴于多源异构企业风险信息的激增、知识融合能力不足以及风险管理智能化水平较低，本文从语义推理和数据融合的角度探讨企业知识服务模型在快速应对风险事件中的应用过程，并阐明风险管理领域知识服务模型的要素。以风险数据为基础、风险决策为标准、风险事件为驱动力、知识图谱分析方法为动力，将风险领域知识服务过程分解为预警、事中响应和事后总结三个阶段。这些阶段与风险事件处理的经验知识相结合，构建了一个风险领域知识获取 - 组织 - 应用的三级知识服务模型。该模型引入语义推理和数据融合方法来表达、组织和整合风险事件不同阶段的知识需求；为企业管理者提供风险管理知识服务解决方案；为跨学科知识服务理论的创新提供新的增长点。
